Pre-Calc/Chapter 1: Functions and Graphs/1.1 Modeling and Equation Solving Match the equation with the appropriate graph.f(x) =  Match the equation with the appropriate graph.

f(x) = ]]> 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1.0000000 0.3333333 0 true true abc ]]> 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 Incorrect ]]> /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAC0ALQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KKKACiiigAooooAKKKKACiiigCpq0d9NpV7Hplxb2epPC62txd27TwxSlTsd41dC6hsEqHQkAgMucj5++AXgC88KfFb4wX1r4u1e7ht/FkUGsJrtwbtdRU+H9LlE4GVS2mWaRjuhVYvKZofK2x2xt+s+APxN8RfHf4OQ6vq2n3Hg/Ur7TNPaHVNPQbZmutIs7t7u0WdHTbHNdyxKH85d1sdxb5lHK/s/8AgDXdJ+LXxeu7r4leKNat7HxbFFcWN9baUsOos3h/SiJJzDZRurKJEAELxriGPcrEyF0/ID2Dw18WPBHjS7trXw94y8P67c3UUs8EOmapBcPLHG+yR0VGJZUchWI4BODg11VfJvwAOr+Hv2mfE2mXXhbWPCmkawmtXlhpfiB4pXtI4X0ad3s2gdolgnuNWu2dVaTDwqNyFHjH1lRF3im9/wCv69RvRtBRRRTEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV5p+03q19oH7NvxX1PTL2407UrLwlq1za3lpK0U0EqWcrJIjqQVZWAIYEEEAigDyr9iDxUnjP8AZ40vQLb4h6PqF7b+HdGisYPD15a3GoeHoDollEVnjKMFmF3HeSKJlkGGUHIBRdb9n/wBruk/Fr4vXd18SvFGtW9j4tiiuLG+ttKWHUWbw/pREk5hso3VlEiACF41xDHuViZC/mX7H3wSn8C/Fz452+l+G/8AhB4ZLqbTZ9R097Z1068cieBNNVjKPI+xXFhMRPEAsp2BWUGOP039n/wBruk/Fr4vXd18SvFGtW9j4tiiuLG+ttKWHUWbw/pREk5hso3VlEiACF41xDHuViZC70sn3/r+v6Y3pKUe3+X9f8DY1dWsvEXhr9pzwr4g8Q39vfaFrM2r+GfD1taqPOs1n0/Tb4Cb5FG3zND1Ri252BuLcD5S3le6186+JrLw7a/HDwnLot/cXmpXPxTeXXIZlIW1vR4JuUSOP5FyptktJMgv80jjcMbV+iqQgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAryr9rH/AJNY+Mn/AGJms/8ApDNXqteVftXfvf2ZfiraJ893qHhnUNNs4F5e5uri3eC3t416vLLNJHGiDLO7qqgkgUAdBoZm1y++I+n2+j3Hgy4XUxax69aQxibUmbTbNhqCeZCUdozJ9nBcSrmzCnIBRfKv2f8AwBruk/Fr4vXd18SvFGtW9j4tiiuLG+ttKWHUWbw/pREk5hso3VlEiACF41xDHuViZC/r9ho3ie4l8cw6lrv2a01C9/4p+406OI3GmWpsbaM5EkRRpRdLdSrvWVcOgOR8i+Qfs/8AgDXdJ+LXxeu7r4leKNat7HxbFFcWN9baUsOos3h/SiJJzDZRurKJEAELxriGPcrEyFwC14yvvtfxo8CRf8Ix/YP2b4myRf2h5Wz+28+Dbx/tmdi7tu/7NnL/APHpjcNuxfoCvCvivZeIvD+taL4u1q/t9R03SPiNpUuh6dCoRksr+yi0N45H2DDJc6ld3WT5m5VSPcu7MfutABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXlX7S3/JOtI/7HPwn/AOpDp1eq15V8d/8Aia6j8LfDEvy2GveM7T7TInEqfYLe51eHYTwN1xpkCNkHMbyAbWKuoBq+FtG0O41b4rQ+Hdd1C21rUNaX+2LiKNC+mX50iwjj8gSxGNsWy2ko3LKu92ByMovmv7P/AIA13Sfi18Xru6+JXijWrex8WxRXFjfW2lLDqLN4f0oiScw2UbqyiRABC8a4hj3KxMhf1XQzNrl98R9Pt9HuPBlwupi1j160hjE2pM2m2bDUE8yEo7RmT7OC4lXNmFOQCi+Vfs/+ANd0n4tfF67uviV4o1q3sfFsUVxY31tpSw6izeH9KIknMNlG6sokQAQvGuIY9ysTIXAD4r2Xh210XxlLot/cXmpXPxT8Gy65DMpC2t6L3w+iRx/IuVNslpJkF/mkcbhjav0VXhXxptr7xT8EP2ktH0zwZcWWpSaZqVjavaWrNN4ilk0KApcIqxgytukFoMFyTahQeNi+1aTq1jr+lWWp6Ze2+o6bewpc2t5aSrLDPE6hkkR1JDKykEMCQQQRQBbooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAryrWf+Ky/aO0LSm+aw8E6K3iGaGT5c39+01lYzRFeW8u3t9YR1Yhf9KhYB2AMXpWratY6BpV7qep3tvp2m2UL3N1eXcqxQwRIpZ5HdiAqqoJLEgAAk15/8ItJvtV1XxR8QNZsrjT9S8STR21jZ3cTRTWmj2rSrZRuhCkNI0tzeFZEWWM3xgkz5C4AOgsNG8T3EvjmHUtd+zWmoXv/ABT9xp0cRuNMtTY20ZyJIijSi6W6lXesq4dAcj5F8g/Z/wDAGu6T8Wvi9d3XxK8Ua1b2Pi2KK4sb620pYdRZvD+lESTmGyjdWUSIAIXjXEMe5WJkL+leFtG0O41b4rQ+Hdd1C21rUNaX+2LiKNC+mX50iwjj8gSxGNsWy2ko3LKu92ByMovmv7P/AIA13Sfi18Xru6+JXijWrex8WxRXFjfW2lLDqLN4f0oiScw2UbqyiRABC8a4hj3KxMhcA9q8M2XiK11rxZLrV/b3mm3OppLocMKgNa2QsrZHjk+RcsblLuTJL/LIg3DG1eK/ZY/0T9n3wToj83fhiyPhS8dfuSXWmSPp9w8Z6mJprWRkJCsUKllUkqOg8AWXh218V/EqXRb+4vNSufEEMuuQzKQtrejStPRI4/kXKm2S0kyC/wA0jjcMbV5/Rv8Ai3fx217T7jjSviDt1myupP4dVtbWG1ubQsdqjfaW9pNDGod2+z6i7EJGoAB6rRRRQAUUUUAFFFFABRRRQAUUUUAVI9WsZtVuNMjvbd9StoYrmezWVTNFFI0ixyMmcqrtDKFYjBMbgZ2nBZatY6jc39vaXtvdXFhMLa8ihlV2tpTGkojkAOUYxyxvtODtkQ9GBPgHw8/Z+8eeGdV8WWV38XvHECXepyarHrdrb+H3Gpidmwswk015VngSOOEgkxeUlv5RRc21vxNt+xDr/in4gfEXW9e+Nnxg0L7frUEllP4e8SWmmpqUC6ZYxm4lgtbZYxKJY5Yc7EJS3jJB++wB9a2WrWOo3N/b2l7b3VxYTC2vIoZVdraUxpKI5ADlGMcsb7Tg7ZEPRgSWWrWOo3N/b2l7b3VxYTC2vIoZVdraUxpKI5ADlGMcsb7Tg7ZEPRgT8a+Df+CfeqW/iPx29/8AHL44aVaT61HJp93ZeNVWXU4P7Os1NxcEREtKJlmgBYKfLt4hjADMeDf+CfeqW/iPx29/8cvjhpVpPrUcmn3dl41VZdTg/s6zU3FwRES0omWaAFgp8u3iGMAMwB9lWWrWOo3N/b2l7b3VxYTC2vIoZVdraUxpKI5ADlGMcsb7Tg7ZEPRgSWWrWOo3N/b2l7b3VxYTC2vIoZVdraUxpKI5ADlGMcsb7Tg7ZEPRgT8a+Df+CfeqW/iPx29/8cvjhpVpPrUcmn3dl41VZdTg/s6zU3FwRES0omWaAFgp8u3iGMAMx4N/4J3WUviPx2/i3xp4w8R2kutRyaRd+LV0XxFLcwf2dZq9wTf2FwYpTMssDFRGXjtLcMGEcbUAfVXin4seB/A1ndXfiTxl4f8AD9pa3q6bcT6pqkFskN00InW3dncBZTCyyBD8xRg2MHNcr/w1B8Obv59E1fUPGloOGv8AwVoWoeIbON+8T3FhBNEkoGGMbMHCujFQHUnx/wCDH7E0nww8b/EDVtG8Wax4Me61NIdM1HRNC8MQzXenmwsS+dulnyl+0xzL5SiNSYRIULOZH6vwB+z9480nxX8Srq7+L3jjTLfVPEEN3Z3UNv4fdtRiGlafCZ5AdNYIwkhkh2hYxtgRtpLF3AO18OaRqnxP11tU8X3enpYaNexzW3gizKyvpl4FjmhbVJkldJ7mNHgnSJFWKF5gwNy0dvcr6VZatY6jc39vaXtvdXFhMLa8ihlV2tpTGkojkAOUYxyxvtODtkQ9GBPgHgD9n7x5pPiv4lXV38XvHGmW+qeIIbuzuobfw+7ajENK0+EzyA6awRhJDJDtCxjbAjbSWLueAP2fvHmk+K/iVdXfxe8caZb6p4ghu7O6ht/D7tqMQ0rT4TPIDprBGEkMkO0LGNsCNtJYu4B6V4X1e38W6t8VtH0y0/4Ra/07Wl0y41nThC1xczvpFhOt4Q8TIZUS4iiUSLIMWyZyvyDzX9n/AMAa7pPxa+L13dfErxRrVvY+LYorixvrbSlh1Fm8P6URJOYbKN1ZRIgAheNcQx7lYmQueAP2fvHmk+K/iVdXfxe8caZb6p4ghu7O6ht/D7tqMQ0rT4TPIDprBGEkMkO0LGNsCNtJYu+T8J/hP4ouvHnxnii+M/jize28W28Us0NnoRa6Y6FpL+ZJv0xgGCuseECLtjQ7SxZmAPa/AHiSx1zxX8SrK00W30u40bxBDY3l3Dt3alK2lafcC4kwoO4R3EcPJY7bdOcYVdXXNM8O/EXStY8P3r2+qW8E0dvewW9yVms7hVjuIjvjYPBOgeCaN1KyITFIhB2tXivgD9n7x5pPiv4lXV38XvHGmW+qeIIbuzuobfw+7ajENK0+EzyA6awRhJDJDtCxjbAjbSWLueAP2fvHmk+K/iVdXfxe8caZb6p4ghu7O6ht/D7tqMQ0rT4TPIDprBGEkMkO0LGNsCNtJYu4B1Vl8W774fXN/ofiy01jxXb6VMLT/hKvDOltqjSO0aSxQX1lYq89vd+U6u7LALZlMcitEZ0to9XSf2lPhdq2q2WkN450fSfEN3MltF4d16f+y9X812CxxtYXXl3CM+VKK0YLq6MuQyk8B4A/Z+8eaT4r+JV1d/F7xxplvqniCG7s7qG38Pu2oxDStPhM8gOmsEYSQyQ7QsY2wI20li71PC37NHi641b4rW2vfFHxgui+IdaVlWWx8PXCaxatpFhbySTxvprqMtFLAU2opSFSUJYu4B9FWWrWOo3N/b2l7b3VxYTC2vIoZVdraUxpKI5ADlGMcsb7Tg7ZEPRgSWWrWOo3N/b2l7b3VxYTC2vIoZVdraUxpKI5ADlGMcsb7Tg7ZEPRgT8a+Df+CcnhqLxH47bVpvs1hJrUbaRL/wAIn4Tm+0Wv9nWYaTY2kuIcXAuU2IsanZv2FnaSQ8G/8E+9Ut/Efjt7/wCOXxw0q0n1qOTT7uy8aqsupwf2dZqbi4IiJaUTLNACwU+XbxDGAGYA+yrLVrHUbm/t7S9t7q4sJhbXkUMqu1tKY0lEcgByjGOWN9pwdsiHowJLLVrHUbm/t7S9t7q4sJhbXkUMqu1tKY0lEcgByjGOWN9pwdsiHowJ+NfBv/BPvVLfxH47e/8Ajl8cNKtJ9ajk0+7svGqrLqcH9nWam4uCIiWlEyzQAsFPl28QxgBmPBv/AAT71S38R+O3v/jl8cNKtJ9ajk0+7svGqrLqcH9nWam4uCIiWlEyzQAsFPl28QxgBmAPsqy1ax1G5v7e0vbe6uLCYW15FDKrtbSmNJRHIAcoxjljfacHbIh6MCSy1ax1G5v7e0vbe6uLCYW15FDKrtbSmNJRHIAcoxjljfacHbIh6MCfjXwb/wAE+9Ut/Efjt7/45fHDSrSfWo5NPu7Lxqqy6nB/Z1mpuLgiIlpRMs0ALBT5dvEMYAZvQPhV+zZ428H6t49hf4w/ECwsLnWraTT72X+xLy41OCPSNPt/tE8kunyOZQ8EkJJ2lhArsGZ2kkAPorSdWsdf0qy1PTL231HTb2FLm1vLSVZYZ4nUMkiOpIZWUghgSCCCKK8A+FX7P3jzSdK1e9vvi9448NvrWpzaqmiW9v4flNiJVTcspGmtF58jq80otwsXmzSYMzb7mcoA+iqKKKAK2pXUtjp11cwWc+ozQxNIlnbFBLOwBIjQyMqBmPA3Mq5PJA5r418Y/FDWdQ/bB8AWt9feKfBQuRp6t4Su9VRJ8N/aStiztrmW2vYZCkTTTje1uEhwRufyvtOihaSUuzG/hlHurf1/XzCiiigQUUUUAFFFFAHn/hbRtDuNW+K0Ph3XdQtta1DWl/ti4ijQvpl+dIsI4/IEsRjbFstpKNyyrvdgcjKL5r+z/wCANd0n4tfF67uviV4o1q3sfFsUVxY31tpSw6izeH9KIknMNlG6sokQAQvGuIY9ysTIX9V0Mza5ffEfT7fR7jwZcLqYtY9etIYxNqTNptmw1BPMhKO0Zk+zguJVzZhTkAovlX7P/gDXdJ+LXxeu7r4leKNat7HxbFFcWN9baUsOos3h/SiJJzDZRurKJEAELxriGPcrEyFwD1XwBZeHbXxX8SpdFv7i81K58QQy65DMpC2t6NK09Ejj+RcqbZLSTIL/ADSONwxtXta5Twbffa/EfjuL/hGP7B+za1HF/aHlbP7bzp1m/wBszsXdt3/Zs5f/AI9Mbht2L1dABRRRQAUUUUAFfIX7JHje+8R/Hr4n2V54s1nW/JNywsLvUZbmO3K6reIPPtndhp0yoI40gQIskKJLjcWVPr2ihaS5vX8RvWDj6fg/6/rQKy/FMTTeGdXjS0vL93tJlW0066+y3MxKHCRTb08tz0V96bSQdy4yNSik1dWBOzufGPwm8OfFXwF4euNM8W/Db4n+M9QadLiLU4viTC+2J7eE+Q2/UYcvE++NnCBZGQyDHmbQV9nUV308XKnBQS203l/8kcUsLSk22l9y/wAgooorhOwKKKKACiiigAooooAKKKKAOUsNG8T3EvjmHUtd+zWmoXv/ABT9xp0cRuNMtTY20ZyJIijSi6W6lXesq4dAcj5F8g/Z/wDAGu6T8Wvi9d3XxK8Ua1b2Pi2KK4sb620pYdRZvD+lESTmGyjdWUSIAIXjXEMe5WJkL+leFtG0O41b4rQ+Hdd1C21rUNaX+2LiKNC+mX50iwjj8gSxGNsWy2ko3LKu92ByMovmv7P/AIA13Sfi18Xru6+JXijWrex8WxRXFjfW2lLDqLN4f0oiScw2UbqyiRABC8a4hj3KxMhcA9q8M2XiK11rxZLrV/b3mm3OppLocMKgNa2QsrZHjk+RcsblLuTJL/LIg3DG1egrivAFl4dtfFfxKl0W/uLzUrnxBDLrkMykLa3o0rT0SOP5FyptktJMgv8ANI43DG1e1oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOK0Mza5ffEfT7fR7jwZcLqYtY9etIYxNqTNptmw1BPMhKO0Zk+zguJVzZhTkAovlX7P/AIA13Sfi18Xru6+JXijWrex8WxRXFjfW2lLDqLN4f0oiScw2UbqyiRABC8a4hj3KxMhf1+w0bxPcS+OYdS137Naahe/8U/cadHEbjTLU2NtGciSIo0oulupV3rKuHQHI+RfjX9jfxZ45u/jN4o1nxJ4/1jV/B/i3xbeRaMHstOhXU2XRbK60yS6EdqJd1zpJScCP7MsTaeVkVnuPLAB9leDb77X4j8dxf8Ix/YP2bWo4v7Q8rZ/bedOs3+2Z2Lu27/s2cv8A8emNw27F6uuf8M2XiK11rxZLrV/b3mm3OppLocMKgNa2QsrZHjk+RcsblLuTJL/LIg3DG1egoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKwfGdn4nvtJSPwnq+k6LqYlUtcazpUuowmPByoijubchiduG3kDB+U5yAD59+LniHwDqvwh/an0jwj4ot9d8WahbXltq2jxXCSTQ6rPpFvp9rawxgBmMpit4lUby07SRg7wY14rSfBur+CvjFrXi3VPHfiDxRpnhz4s6da3llqMGnIbqTUPDdjpkFyPs9pCfNSbVLdGAdIxBG7bHlAL+b6b8H/GXhnX/AIs3GqeDR4CtdQ8eeHLWz8SWTwSSSyS+JrC4SeyMiN5ibLhGY3CSBZIQmSqm3t++1XwBruk6r8Rru6+JXijWrex+MHg2K4sb620pYdRZm8NESTmGyjdWUSIAIXjXEMe5WJkLi1jF9wekpR7f5f1/Wh9VeALLw7a+K/iVLot/cXmpXPiCGXXIZlIW1vRpWnokcfyLlTbJaSZBf5pHG4Y2r2tcp4NvvtfiPx3F/wAIx/YP2bWo4v7Q8rZ/bedOs3+2Z2Lu27/s2cv/AMemNw27F6ugAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+f/jDo3ifWPFHhnw3rWu+V4f8AE/xAi/sw6dHF9osbW10Ca+t8l4ivmx6rp32pdwkVgER90bPFXkHjDwBruk/DL9sK7uviV4o1q3sYdUiuLG+ttKWHUWbwlYESTmGyjdWUSIAIXjXEMe5WJkL/AE/dfBTQ7jVtb1dLrULbWtQ1pvENtqEUiF9MvzpC6SJoEZDG2LZThZllXe7EgjaF8f8AhX8GLnxF4w+O+jeJfiB4o8T+HrrxAdK1bR76LTYYdWin8OaYjtO9vZxSowSYKDBJEMQxkgkuXAPoDwzZeIrXWvFkutX9veabc6mkuhwwqA1rZCytkeOT5FyxuUu5Mkv8siDcMbV6Cuf8M+CrHwrrXizU7SW4kuPEuppqt4szKVjlWytrMLGAoIXy7SM4JJ3M5zggDoKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCpq2k2Ov6Ve6Zqdlb6jpt7C9tdWd3EssM8TqVeN0YEMrKSCpBBBINeAfs//AAqsdJ+LXxevr3V9Y8RPoni2KHSU1u5W4FiX8P6UDMG2h5Z/JkW38+ZpJfKQjfunuXnKKAPoqiiigAooooAKKKKACiiigAooooAKKKKAP//Z Incorrect ]]> 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 Correct ]]> 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 Incorrect Solve the equation algebraically.x(x - 2) = 35 Solve the equation algebraically.

x(x - 2) = 35]]> 1.0000000 0.3333333 0 true true abc -5; 7 Correct 2, -35 Incorrect 0; 2 Incorrect 5; -7 Incorrect Solve the equation graphically.3x - 2 = x3 - 5 Solve the equation graphically.  Round to the nearest tenth.

3x - 2 = x³ - 5

]]> 1.0000000 0.3333333 0 0 2.1 * Solve the problem.  The following data set gives the average home value, in... Solve the problem.  

The following data set gives the average home value, in dollars, for a city at 5-year intervals.



Determine where f is increasing or decreasing.]]> 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 1.0000000 0.3333333 0 true true abc f is increasing until 1980, then f is decreasing for remainder of x-values. Incorrect f is increasing for the given x-values. Correct f is decreasing for the given x values. Incorrect f is constant for the given x-values. Incorrect Solve the problem.  Use the graph of f to estimate the local maximum and ... Solve the problem.  

Use the graph of f to estimate the local maximum and local minimum.  Answer with Y-values.

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 1.0000000 0.3333333 0 true true abc No local maximum; no local minimum

]]> Incorrect

]]> Local maximum: -1; local minimum: 2

]]> Incorrect

]]> Local maximum: approx. 1.17; local minimum: approx. -3.33

]]> Correct

]]> Local maximum: ∞; local minimum: -∞

]]> Incorrect

]]> Pre-Calc/Chapter 1: Functions and Graphs/1.2 Functions and Their Properties Determine if the function is bounded above, bounded below, bounded on its ... Determine if the function is bounded above, bounded below, bounded on its domain, or unbounded on its domain.

8^x + 3]]> 1.0000000 0.3333333 0 true true abc Bounded above Incorrect Bounded below Correct Unbounded Incorrect Bounded Incorrect Determine if the function is bounded above, bounded below, bounded on its ... Determine if the function is bounded above, bounded below, bounded on its domain, or unbounded on its domain.

y = 2x - x³]]> 1.0000000 0.3333333 0 true true abc Bounded below Incorrect Bounded Incorrect Bounded above Incorrect Unbounded Correct Find horizontal asymptotes Find the asymptote(s) of the given function.

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»f«/mi»«mo»(«/mo»«mi»x«/mi»«mo»)«/mo»«mo»§#160;«/mo»«mo»=«/mo»«mo»§#160;«/mo»«mfrac»«mrow»«mo»#«/mo»«mi»a«/mi»«mo»§#160;«/mo»«msup»«mi»x«/mi»«mn»2«/mn»«/msup»«mo»+«/mo»«mo»#«/mo»«mi»b«/mi»«/mrow»«mrow»«mo»#«/mo»«mi»c«/mi»«mo»§#160;«/mo»«msup»«mi»x«/mi»«mn»2«/mn»«/msup»«mo»-«/mo»«mo»#«/mo»«mi»d«/mi»«/mrow»«/mfrac»«/math»     horizontal asymptote

]]> 1.0000000 0.3333333 0 true true ABCD Your answer is correct.

]]> Your answer is partially correct.

]]> Your answer is incorrect.

]]> y= #e

]]> y= #a

]]> y= #f

]]> y=0

]]> None

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>5</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>5</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>6</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mfrac><mi>a</mi><mi>c</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mfrac><mi>b</mi><mi>d</mi></mfrac></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"></data></localData></question> Find horizontal asymptotes (none) Find the asymptote(s) of the given function.

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»f«/mi»«mo»(«/mo»«mi»x«/mi»«mo»)«/mo»«mo»§#160;«/mo»«mo»=«/mo»«mo»§#160;«/mo»«mfrac»«mrow»«mo»#«/mo»«mi»a«/mi»«mo»§#160;«/mo»«msup»«mi»x«/mi»«mn»3«/mn»«/msup»«mo»+«/mo»«mo»#«/mo»«mi»b«/mi»«/mrow»«mrow»«mo»#«/mo»«mi»c«/mi»«mo»§#160;«/mo»«msup»«mi»x«/mi»«mn»2«/mn»«/msup»«mo»-«/mo»«mo»#«/mo»«mi»d«/mi»«/mrow»«/mfrac»«/math»     horizontal asymptote

]]> 1.0000000 0.3333333 0 true true ABCD Your answer is correct.

]]> Your answer is partially correct.

]]> Your answer is incorrect.

]]> y= #e

]]> y= #a

]]> y= #f

]]> y=0

]]> None

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>5</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>5</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>6</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mfrac><mi>a</mi><mi>c</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mfrac><mi>b</mi><mi>d</mi></mfrac></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"></data></localData></question> Find the asymptote(s) of the given function.f(x) =  horizontal asymptotes(s) Find the asymptote(s) of the given function.

f(x) =  horizontal asymptotes(s)]]> 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 1.0000000 0.3333333 0 true true abc y = 9 Incorrect None Incorrect y = 1 Correct y = -9 Incorrect Find the asymptote(s) of the given function.g(x) =  horizontal asymptotes(s) Find the asymptote(s) of the given function.

g(x) =  horizontal asymptotes(s)]]> /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAApAEMDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U68s8ZeJfiD4T8deHZkk8Paj4U1bWItJ/sWKynXU0R43Y3K3Rm8t9mwyNF5AxGrnzCV54b42J4itviHNqmgReN7vw1BbRWvjCx0me8QzW0jKY5NLUcmeIKxmNoVcxyMATN5ezrIPh38QpviMPFUHjTw3NpDBIrPT9T8KXkl3ZWR2l4UmOooFlfGXlaHcSF3KVRUBB3ab7/18muvrbVIppJOPdaf15Pdel9Gz2CsnxR4p03wbos+q6rLLHaxYG23t5LmaRicKkcMStJK5PARFZieADXnn7Rnh74m+IvCFrB8NNcsNJvl1CykuEns5JJ5I1vIGcpMt3AERY1kMiEMZU3ICpbNdH4q8Qaj4N+HyS65Nqeoag8f2W71Xwbock8ts7qR9pisibmQhWxhcT4JBZWUMQ2rQ5r9bfl59bglexofD/wCI+gfE/Rp9T8PXU9xb291JZXEV3ZT2VxbTx43xSwToksbjKna6g4ZT0INdNXx/pnhbx8nhvVW8N6r4uvfEGoeJm1jwpq+uWMulvdKLeE3X9swwwwxCBjHJDGlxCkuNvlqu1HHvPwzuNQ1n4SxPo41rQNflSXf/AMJ3bXF3cW16WPm+ajSR+bGH3bfIdISuPKKptAV9+6tp121+53Xlpfci+3Z3t97t+Fn5622PR6wbvx3oNj4107wjNqUS+JNQs5tQttOAZpGt4mRZJDgYUBpFA3EbjnGdrYoeBtN8dafJdnxj4j8Pa8jBfsw0PQJ9MMZ53bzLe3O/PGMBcYPXPHzu2r+PLH9sXwl/bHgeJrTydWt59f0z+1bu3SC4a1Nsskw0pLdGVLcDZ57KCZC0iEqJNIKLmoye6f32dl99vxK0s5Pp/X/APrWiiisxHlX/AAjnxv8A+ih/D/8A8IO+/wDlzR/wjnxv/wCih/D/AP8ACDvv/lzXqtFAHlX/AAjnxv8A+ih/D/8A8IO+/wDlzR/wjnxv/wCih/D/AP8ACDvv/lzXP/tDfEPxF4D13R7nwprU97dwW0txrHhWCxivGTTOVk1NUAE5eByhWMPiYB0CbjvTvrDXtTvfhjpWp+Br/TfiLcz28L2upaxqi2UGoRnGZmntbWRAxHOI4QpPGFpJpq/9f1/W6dm1Z2fr/X9dujV8H/hHPjf/ANFD+H//AIQd9/8ALmqaWnxgk1eXSk+KPw2bVIYEupLIeCbwzpC7MqSFP7a3BWZHAYjBKMB0Nd34R1Lxdc6Pdz+LPD+kaVqMbEw2eg6zJqKSoFyMyTW1ttYnIxtI6Hdzx8xfAL4sWOu/tieMdKvtFm0TxbfeGbMapb3eraTPKl1Dc3bOhjtr6d8LHLEgXG5VjBdUDKX1hFSbTeyv/X69g2g59rfi0j27/hHPjf8A9FD+H/8A4Qd9/wDLmj/hHPjf/wBFD+H/AP4Qd9/8ua9VorMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/9k= 1.0000000 0.3333333 0 true true abc y = -3 Incorrect y = 4 Incorrect y = 2 Incorrect None Correct Find the asymptote(s) of the given function.h(x) =  vertical asymptotes(s) Find the asymptote(s) of the given function.

h(x) =      vertical asymptotes(s)

]]> 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 1.0000000 0.3333333 0 true true abc x = 2, x = -2

]]> Correct

]]> None

]]> Incorrect

]]> x = 1, x = -5

]]> Incorrect

]]> x = -1, x = 5

]]> Incorrect

]]> x = 2

]]> Find the domain of the given function.f(x) =  Find the domain of the given function.

f(x) = 

]]> /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAApAE0DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9FPFPxTh8PeLrvTikz6domlDWNblttOub6dIpHeO3jhjgVmZ2aKZ2wrELFjZ8+5Nnwh8SfDnj6Rx4e1H+14FtoLv7ZbQSNaskyb4ws+3y2coVcoGLqroWADqTyGv+F/ENh8TtdvtBvl01vFWi21jFqkmmtepp93aPMwZ0DqMSRXD7CxCh4cMSXVG0PhL8I5Pg++q6XpWtvdeDJpPtOn6NdwF5tOmclp9txv8AnidyZAjJlXd8OVKqr0v5W/G/9W9Otwfl/Wi/p/8AA166HxZpU/i278Mx3W7W7Wyh1Ga18t/lt5ZJI433Y2nLQyDAORt5ABGeD+MniX4g+Crc+IfD0nh660OyltY5dCu7KeS/1MyTpGyQXKzIkMh37UUwy7m2gld3D9M/Zm+GmkfFq6+I9p4P0WDxPPAkYuI9Mtl8qVXldrlGEYcTv5xV5N2WVEHbmDx78OfiF4i8fWeu6N4y8MWOlWEY+waTrXhe5v8A7POQQ9xvj1GBWkIJVSU+RSQuNzlm+W8bfP1/C6KsnzLpb5/8DX8O/WTxN8ZJvBd/4q0nUbWK51iyWzm0iK3SRUvlvZ2t7WNuG2sJ1KOQT8uJNoB2jW1T4yeGvCGpz6D4h1WRPENlp8d9NDDpN2ovVLJGWs0Cubg+ZIi+VC0rq0kanllz5/8AED4fa9448Ua/4ptLaQT6GmkpplvNbGM6jPY3pvJ9gZwQknEKFsDcCwYqQT0Hjz4Sal8UdX0/xVaeKpND1PShFd+FZRpTo2myMuLg3UTyK1wsyHy3iYRFEyBtf5wvsp9b6+ltHe271vvtbzCSXNJL5eul1byd1/Vn61FIJokkUMFcBgHUqcH1B5B9jVXWhqJ0m6GkG1XUzGRbvehjCrnozhcFgOu0EZxjK5yMTxf8NPC3xK0qysfG/hjQfF8VswlSLV9MiuoUl24LpHKH2E5I6k4OMmoJPAMfhf4fXfhv4bxaL4Bfy3Wwa10dHs7ORjlpBaxvErHJJxuA3HJzyDL2f9f5Cjuv1/pnn9r8TfHnhfSvH7+JU0LW28GywXVxqejWM9pDe2bW4mniWFp5miuYl+fG+QOrRcKZPl9qtbmK9tYbiFt8MyCRGwRlSMg4PtXh0vgDx14T+EfiTwtdaroviS61m1k03Tjofh25s3S4uFdZbq7lmvrnzB8xkZ2KElSNzM6ivadF0xNF0aw0+Nt6WlvHArYxkKoUHqfT1rR9f66a6fd11uwaSSt5/dpb79fS1jzf/hk74If9Eb+H/wD4S9j/APGqP+GTvgh/0Rv4f/8AhL2P/wAar1WioEeVf8MnfBD/AKI38P8A/wAJex/+NVwvxT/Z98AeD9Kl1Dwt+zb8MPE8NnbS3d4L+xstObYilvLgxZzeZKQDgP5SdMvycdr+0J4r8QeFdM0ObwdqzP4uN35lj4TCQMPEMaANcQMZF3xhYg7CVGQI23dvBCNxn9p+Nvi54D8PS+Dr3QfiH4VvRNJrj6/q8mh3U0287tPeG30+fyoozlHic+adojkZsSGSb3uk7NeV/n6fNP70aJJNc2z/AK+/8Pudum8N/s1/AjxT4d0vWrT4MeBY7XUbWK8hS48KWKSKkiB1DL5XDYIyOxrS/wCGTvgh/wBEb+H/AP4S9j/8arstQvvFsfg1Lmy0TRp/FZiQvpk+sTRWKyHG9RdC1Zyo5w3kAnAyFzxxv7OviL4ja98HdF1L4k6JBY+JmsYpHit7ljc3LeWCxmhe3t1t5S2R5Y3KP71ayStKS2T9d7/fsZRT5Vd6/wBfcU0/Zn+AMmry6Unwp+GzapDAl1JZDw5p5nSF2ZUkKeXuCsyOAxGCUYDoauf8MnfBD/ojfw//APCXsf8A41XiPwC+LFjrv7YnjHSr7RZtE8W33hmzGqW93q2kzypdQ3N2zoY7a+nfCxyxIFxuVYwXVAyl/sOnOKiotO90mVLSTj2t+Sf6nlX/AAyd8EP+iN/D/wD8Jex/+NV3/hbwnofgbQrXRPDejaf4f0W13fZ9O0u1S2t4dzF22RoAq5ZmY4HJYnqa1qKzEFFFFABRRRQAUUUUAFFFFABRRRQB/9k= 1.0000000 0.3333333 0 true true abc (4,∞)

]]> Incorrect

]]> (-∞,2)  (-2,2)  (2,∞)

]]> 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 Incorrect

]]> (-∞,-4)  (-4,4)  (4,∞)

]]> 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 Incorrect

]]> All real numbers

]]> Correct

]]> Find the domain of the given function.f(x) =  Find the domain of the given function.

f(x) = 

]]> /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAATAC4DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6+StWvtA1BPEHj7xfP8RryDWvGtzoFlp/hjxRqtlaaPDa3seiqXEF5BAFkuLc3B+USZu2ULIImc+geJPF19+zHbal43+Ivi241vwJdwwHWtSNuwXRdQMjIJobVPMcWkwktrYQxl2haCJ3E7XF1cpy3iHwL420j9kT4eeE7fwVqXiHxog0G81y2sLyxWRb2G6tr3UJ5pZ7iNJZZZY5y0is5klkLMcMXqo25o8211f7y4JOVnsbPxN+Hnw2+E+j2Goa1q/wASZVvtRtdMt4LP4heIZJXlnmSFTg34ARS4LMSAAO5Kqew/4Zp8I/8AQX+IH/hx/EP/AMnV5l+1b4R+Lni7StOvfA+mR6nHdtprvoM2l28t1pzQXkN3Iz3Emr28J3GJAUjSTcYgu9Q3mD2vxN4N8Q+MrXSp7Xx54j8DXEcA+022iWumOJZGAJ3i6trraVOQAj45PLcGnaPs/wC9dp+llb166/LoyXbS3X+v69DB/wCGafCP/QX+IH/hx/EP/wAnV2vgrwPp3gDSpdP0y51i6t5ZjcM+t63e6rMGKqpAlu5ZXVcKPkDBQckDLEnj/i/8O38Y/ChPCV3p1x43vblobZNUvmtoZrKboNTZkEQSSE/vB9nUPuACBckhfgH4c1rwt4d1Ow8TaBDY+JEvW+3+ILd4nXxG+AFvyVYyKzIEUxyBfLK+XHmNENR1a7fj/X9dbJ6Wff8AD+v66X9E1bSbHX9KvdM1Oyt9R029he2urO7iWWGeJ1KvG6MCGVlJBUgggkGrdFFABRRRQAUUUUAf/9k= 1.0000000 0.3333333 0 true true abc (-∞,14)  (14,∞)

]]> 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 Incorrect

]]> (,∞)

]]> 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 Incorrect

]]> (-∞, 14]

]]> Correct

]]> All real numbers

]]> Incorrect

]]> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo»(«/mo»«mo»-«/mo»«mo»§#8734;«/mo»«mo»,«/mo»«msqrt»«mn»14«/mn»«/msqrt»«mo»]«/mo»«/math»

]]> Incorrect

]]> Find the range of the function.f(x) = (x - 1)2 + 1 Find the range of the function.

f(x) = (x - 1)² + 1

]]> 1.0000000 0.3333333 0 true true abc [0, ∞)

]]> Incorrect

]]> (-∞,∞)

]]> Incorrect

]]> (-∞,1)

]]> Incorrect

]]> [1, ∞)

]]> Correct

]]> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo»(«/mo»«mo»-«/mo»«mo»§#8734;«/mo»«mo»,«/mo»«mn»1«/mn»«mo»]«/mo»«/math»

]]> Incorrect

]]> Find the range of the function.f(x) = 6x + 14 Find the range of the function.

f(x) = 6x + 14

]]> 1.0000000 0.3333333 0 true true abc [0, ∞)

]]> Incorrect

]]> [14, ∞)

]]> Incorrect

]]> (14, ∞)

]]> Incorrect

]]> (-∞, ∞)

]]> Correct

]]> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo»(«/mo»«mo»-«/mo»«mo»§#8734;«/mo»«mo»,«/mo»«mn»14«/mn»«mo»]«/mo»«/math»

]]> Incorrect

]]> Graph the function and determine if it has a point of discontinuity at x = 0.... Graph the function and determine if it has a discontinuity at x = 0. If there is a discontinuity, tell whether it is removable or non-removable.

f(x) = 

]]> 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1.0000000 0.3333333 0 true true abc

Yes; removable

]]> 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 Incorrect

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No

]]> 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 Incorrect

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No

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Incorrect

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Yes; non-removable

]]> 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 Correct

]]> Identify intervals on which the function is increasing, decreasing, or ... Identify intervals on which the function is increasing, decreasing, or constant.

f(x) =  - 4

]]> /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAARACUDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD7l+FfxZ0/w74Jjk8XaxeCXU/HHiTR7O9u4p54lZdevobaCScKyQrtWOKMSMqnCInOFr1jwv4p07xlo8eq6VJPNYSsyxTTWssHmhWI3oJFUtG2MrIAVdSGUspBPinhH4PXnxA+FOo+FPEZm0zw3e+LfFU+q6VNaSRXN/by65fy2pjm3qYkO+KYMFYuuzaQpJb1Dw34Euj8PR4V8dahZ/ECNomtbifUNNRFvrfoouYizpI+3AdgFVzkhEB2hK+t/l/X9endvpb5/wBf1+OnY14/Bf8AxZs/iPo2mXviHwXfaddzz3V1pll4euo7i109CQrfamvyrSEtEv8AqAGJchQFJHZ+BvhH4F+GMl2/g7wX4e8JveBVuW0PSoLIzhc7Q5iRd2MnGemTUnhDwZceH9b8S6zqWp/2vqes3YdZRD5S2tnGCLe1RdzfKgaRi2fmeWRsKGCh/aTX9f1+VxPVP+vn/XdHO/s+atfa14D1W41C9uL+4Txb4ntlluZWkZYotdv4oowWJIVI0RFXoqqoGAAKKP2fNJvtF8B6rb6hZXFhcP4t8T3KxXMTRs0Uuu38sUgDAEq8bo6t0ZWUjIINFAHpdFFFABRRRQAUUUUAf//Z 1.0000000 0.3333333 0 true true abc Increasing: (7, ∞); decreasing: (-∞, 7)

]]> Correct

]]> Increasing: (-4, ∞); decreasing: (-∞, -4)

]]> Incorrect

]]> increasing: (-∞, 7); decreasing: (7, ∞)

]]> Incorrect

]]> Increasing: (-7, ∞); decreasing: (-∞, -7)

]]> Incorrect

]]> Pre-Calc/Chapter 1: Functions and Graphs/1.3 Twelve Basic Functions Graph the function on your calculator to determine the domain and range from ... Graph the function on your calculator to determine the domain and range from the graph.

k(x) = e^x + 1

]]> 1.0000000 0.3333333 0 true true abc Domain: (1, ∞); range: (-∞, ∞)

]]> Incorrect

]]> Domain: (-∞, ∞); range: (1, ∞)

]]> Correct

]]> Domain: (-∞, 1); range: (-∞, ∞)

]]> Incorrect

]]> Domain: (-∞, ∞); range: [1, ∞)

]]> Incorrect

]]> Domain: (-∞, ∞); range: (-∞, ∞)

]]> Incorrect

]]> Graph the function on your calculator to determine the domain and range from ... Graph the function on your calculator to determine the domain and range from the graph.

h(x) = 

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]]> Incorrect

]]> Domain: (-∞, ∞); range: [0, ∞)

]]> Correct

]]> Domain: [-7, ∞); range: [0, ∞)

]]> Incorrect

]]> Domain: [0, ∞); range: (-∞, ∞)

]]> Incorrect

]]> Domain: (-∞, ∞); range: [7, ∞)

]]> Incorrect

]]> Match the function with the graph. Match the function with the graph.

]]> 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 1.0000000 0.3333333 0 true true abc g(x) = -x² - 4

]]> Incorrect

]]> g(x) = -x² + 4

]]> Incorrect

]]> g(x) = -(x + 4)²

]]> Correct

]]> g(x) = (x - 4)²

]]> Incorrect

]]> g(x) = -(x - 4)²

]]> Incorrect

]]> Pre-Calc/Chapter 1: Functions and Graphs/1.4 Building Functions from Functions Find functions f and g so that h(x) = f(g(x)).y =  Find functions f and g so that h(x) = f(g(x)).

y = ]]> 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 1.0000000 0.3333333 0 true true abc , g(x) = 10x + 6]]> 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 Correct ]]> 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 Incorrect , g(x) = 8]]> 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 Incorrect f(x) = 8/x, g(x) = 10x + 6 Incorrect Perform the requested operation or operations.f(x) = 7x + 14; g(x) = 4x - 1F... Perform the requested operation or operations.

f(x) = 7x + 14; g(x) = 4x - 1
Find f(g(x)).]]> 1.0000000 0.3333333 0 true true abc f(g(x)) = 28x + 55 Incorrect f(g(x)) = 28x + 13 Incorrect f(g(x)) = 28x + 7 Correct f(g(x)) = 28x + 21 Incorrect Perform the requested operation or operations.f(x) = x2 + 2; g(x) = Find ... Perform the requested operation or operations.

f(x) = x² + 2; g(x) = 
Find f(g(x)).]]> 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 1.0000000 0.3333333 0 true true abc ]]> 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Incorrect ]]> 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Incorrect 2 + 2)()]]> 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Incorrect f(g(x)) = x + 1 Correct Solve the problem.  A satellite camera takes a rectangular - shaped picture... Solve the problem.  

A satellite camera takes a rectangular - shaped picture. The smallest region that can be photographed is a 4-km by 6-km rectangle. As the camera zooms out, the length l and width w of the rectangle increase at a rate of 3km/sec. How long does it take for the area A to be at least 4 times its original size?]]> 1.0000000 0.3333333 0 true true abc 9.7 seconds Incorrect 3.28 seconds Incorrect 4.94 seconds Incorrect 1.61 seconds Correct Pre-Calc/Chapter 1: Functions and Graphs/1.5 Parametric Relations and Inverses Determine if the function is one-to-one. Determine if the function is one-to-one.


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 1.0000000 0.3333333 0 true true abc Yes Incorrect No Correct Find a direct relationship between x and y.x = 3t and y = 2t + 7 Find a direct relationship between x and y.

x = 3t and y = 2t + 7]]> 1.0000000 0.3333333 0 true true abc y = 6x Incorrect ]]> 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 Incorrect  x + 7]]> /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAAmAA0DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9APjJ4l+IPgq3PiHw9J4eutDspbWOXQruynkv9TMk6RskFysyJDId+1FMMu5toJXdx6nXlHj34c/ELxF4+s9d0bxl4YsdKsIx9g0nWvC9zf8A2ecgh7jfHqMCtIQSqkp8ikhcbnLeqRBxEgkZXkAG5kXaCe5AycD2yaF8P3jla+nb+v6/4c+X/jB8Gfh78N7OXVtJ/Zl+GviLQLFYnvppbGxtbxw8ipss4BZyCeQZ+7I8O4lVUtnj6N8LeE9D8DaFa6J4b0bT/D+i2u77Pp2l2qW1vDuYu2yNAFXLMzHA5LE9TXkHx/8Ag1rPxra40HUPB/gPXdBmgeGw8Q608p1TQXlQLJLbwfZ3Ejgqrqyz2+cKD93cfbdPtP7PsLa186a58iJYvOuH3ySYAG5m7scZJ9aFt/X9afiJ6NJFiiiigD//2Q== Correct y = 6x + 7 Incorrect Find inverse of function Find the inverse of the function.

f(x) =#a x³ + #b

]]> 1.0000000 0.3333333 0 0 f-1(x)=#answer]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>5</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>8</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>answer</mi><mo>=</mo><mroot><mfrac><mrow><mi>x</mi><mo>-</mo><mi>b</mi></mrow><mi>a</mi></mfrac><mn>3</mn></mroot></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mi>f</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>(</mo><mi>x</mi><mo>)</mo><mo>=</mo><mo>#</mo><mi>a</mi><mi>n</mi><mi>s</mi><mi>w</mi><mi mathvariant="normal">e</mi><mi>r</mi></math>]]></correctAnswer><correctAnswer id="1"></correctAnswer><correctAnswer id="2"></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"><![CDATA[<session lang="en" version="2.0"><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mi>f</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mi>I</mi><mo>(</mo><mi>x</mi><mo>)</mo><mo>=</mo></math></input></command></group></session>]]></data><data name="inputCompound">true</data></localData></question> Find the (x,y) pair for the value of the parameter.x = 2t and y = t2 - 2 for ... Find the (x,y) pair for the value of the parameter.

x = 2t and y = t² - 2 for t = 5]]> 1.0000000 0.3333333 0 true true abc (23, 25) Incorrect (10, 25) Incorrect (25, 5) Incorrect (10, 23) Correct Find the inverse of the function.f(x) = x3 + 7 Find the inverse of the function.

f(x) = x³ + 7]]> 1.0000000 0.3333333 0 true true abc -1(x) = ]]> 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 Correct Not a one-to-one function Incorrect -1(x) = ]]> 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 Incorrect -1(x) =  - 7]]> 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 Incorrect Graph the inverse of the function plotted, on the same set of axes. Use a ... Graph the inverse of the function plotted, on the same set of axes. Use a dashed curve for the inverse.


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w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUAPnXxrrXxTi/an8I/YPBvg+58vwz4kj0/7T4tuoftFr9u0bMs2NMfyZRiHES+Yp3yfvBsHmfRUkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KfOvjXWvinF+1P4R+weDfB9z5fhnxJHp/2nxbdQ/aLX7do2ZZsaY/kyjEOIl8xTvk/eDYPM+ipJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAt0UUUAFVJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUt1UkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lPn74i+Jru3/AGs/ANjbeLdL1ezeF7S48F2OuXdnqmnyFHlXUJLWCYx3cDKpRhcxqseIyjFnIoV3JRXX/Jv+v8gekW+xW8a618U4v2p/CP2Dwb4PufL8M+JI9P8AtPi26h+0Wv27RsyzY0x/JlGIcRL5infJ+8GweZ9FSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3kp86+Nda+KcX7U/hH7B4N8H3Pl+GfEken/afFt1D9otft2jZlmxpj+TKMQ4iXzFO+T94Ng8z6KkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAC3RRRQAVUkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJS3VSSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUAPnXxrrXxTi/an8I/YPBvg+58vwz4kj0/7T4tuoftFr9u0bMs2NMfyZRiHES+Yp3yfvBsHmfRUkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KfOvjXWvinF+1P4R+weDfB9z5fhnxJHp/2nxbdQ/aLX7do2ZZsaY/kyjEOIl8xTvk/eDYPM+ipJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJTzXW/wBpj4eaR4qk0SLxh4f1m/tftEF5o2h351PXY7qN0XyY9MtY5Z5do89pSAGiEOSpUu0dST496zqmq27eFfhJ448VeHvJlF1qjWsGiTQ3QaPZCtpqstpLIpRnZplGwEIqmQmTygD1WSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lPNf+Ej+M+scWngfwf4ftLr/U3WreJ7i5vLFG+689nDZCKSVAQWhjvNjMpVbjBElVJPBHxl1rVbe01f4naPpmheTLLJfeDPDi2GpLcBoxFGRfy6hC8DI05chI5FaOHaxVnFAHqskl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KeVSfABtU1W3bxH4z8ceKk8mUPqjeLrrRJoSGj8qFbTSVtLeRTunZpnHmghFzIpXyiT9ln4XT6rb/wBo/DLwv4qR4ZWu9e8Vxf2xq8koaMQo892kss67DIN0k2Y1iiRVZT+7ALet/tP/AAs8P+KpNIv/AIn/AA/sPsn2iDUI73xXaw3lpdRuiiEwE/8AXbeWZWRo1G1t5KWvDfx10rxf4y03RNM0XxRFb3UM7Peav4R1vTVilQK0ab7ixSEKyCbLPKhDJGqq5k+W3b/EDwx4a0Kb/hG10/UfCHhnzNGvrfwlFLqNxpd1C0EUdilhZQyt8iu29RtaEInyFWZo9UeMNUvNd8JppvhbUL7w3rVlPc3WtSstm+lOFie3Se0n2T/vQ8qnapeN41V0AYsgB1dFFFABVSSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lLdVJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lKmt63/wAI/wCZf38mn2Hhu0sri71DVL298n7J5exgSCmzytnnM8jSLs8tflYOSgBbkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJSpret/8I/5l/fyafYeG7SyuLvUNUvb3yfsnl7GBIKbPK2eczyNIuzy1+Vg5KcB/b/xD+Jvy+H9N/wCFc+G5OP7c1+ATaxcxn+K1sM7Lbcjq6S3jGSN0ZJbEjmjTf2fPDFp4q0rVdW0n/hOb+13Xo8QeMdRl1O8sb9XjZJbK3lVoLPzDvdzaC3VWhgVYyoXygD518Y/tJePde/aS8M3/AMM/hpo/xYt7Pw/r9tYT6D4re3tL2ye80otcre3NlHayNG0MUbxW01xseR1dlMfzfRX9o/GfxTxaaR4P+H1o/wC/hutWubjXrzYfuwT2cP2WKKXBBZ47ydFZCq+aGEi+f+Nda+KcX7U/hH7B4N8H3Pl+GfEken/afFt1D9otft2jZlmxpj+TKMQ4iXzFO+T94Ng8z6KkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQA8qk+CviLX9Vt18XfETxR4h0iWGW4ubXS9UHh6G1vd0fli2XT4orpoNrXACT3su0CPcJ3xLGSfswfD671W3j1rwhb+OtN8mVvtHjzV7vxFNZS7o9iWseoGcRLIpkMjRvGSYYQVk4Mfqskl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KAFTTdN/4R/8AsrSNI0rT7Dw3aWTQJHbN5P2Ty/LWCGGBY9nlbPMydy7PLjAVg5KW5JL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yU4q31/xP8SNCm/sbTdQ8BWlz5kcWr63BF9v8vdAUnt7IlwnmQvcbftflyQyRx+bayAslW9S+Guk6/qvhCXxHoGj+M7jw9C01r4j1+2t5dStb1Wg2TQotuERpDG0jvEYtrRRhUIP7sAtW/j1L74jzeFLfTtQ/wBEspLm7v7jTL6G3D5g8pIbhrb7LPuWVy2yfehjxsb94Ysq31H4l+JNCmaPSPD/AIHv5/Me0l1K5k1l7ZN0BiW5tYfs6GVka5WRYrpkieOMpJcK529rJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSgByupeDdW8Q6r4QfWdVuJLfSoWur1tE1C40qG61FWg8pzbxlnkgwLn9zJcmMBwskdwSrw2rfwRZ2HxHm8Tw2H2m7vbKSC41C91S4me0wYAsNpbPuigilEe+YxGLc8EJdZT80fQSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koAVNN03/AIR/+ytI0jStPsPDdpZNAkds3k/ZPL8tYIYYFj2eVs8zJ3Ls8uMBWDkpbkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAt0UUUAfNXw48a/G+/wDFXjRdS8I+D5vEkF6I5tIvfHN9bxWVgHlFi9vAulOjRSoHc3IZmlkEqOYjbi1tjWvGvxvi+Pvg2w/4RHwfD5/hnXJ/7Lj8c332O42XWkr50p/soYlj8zag8tsrPN8yYxJ9K1g+KvFtn4KgbVtdv9I0TwrbQO99rGq6iLVbaTfEsK/OuzY2+TLtIpVljAV95KGwbnhGteNfjfF8ffBth/wiPg+Hz/DOuT/2XH45vvsdxsutJXzpT/ZQxLH5m1B5bZWeb5kxiQ1rxr8b4vj74NsP+ER8Hw+f4Z1yf+y4/HN99juNl1pK+dKf7KGJY/M2oPLbKzzfMmMSJ8Rv2mPEXhPW/HVzoP8AwjPijwnaeEdP17Qr+1aUs1zd3UlrEsjxu6XFuWjaUyJ5RVcLh8l19K+Dnj3xN4yXV7LXbbSZbrQNUvtH1LUtOMtuk88RheB4bZ/MKo8UzF90xKPGAPMD7kvlabT3tf5Xt+bX3jkuSzfWy+9cy+9X+70PNta8a/G+L4++DbD/AIRHwfD5/hnXJ/7Lj8c332O42XWkr50p/soYlj8zag8tsrPN8yYxIa141+N8Xx98G2H/AAiPg+Hz/DOuT/2XH45vvsdxsutJXzpT/ZQxLH5m1B5bZWeb5kxiT6KkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJSBHzrrXjX43xfH3wbYf8Ij4Ph8/wAM65P/AGXH45vvsdxsutJXzpT/AGUMSx+ZtQeW2Vnm+ZMYkNa8a/G+L4++DbD/AIRHwfD5/hnXJ/7Lj8c332O42XWkr50p/soYlj8zag8tsrPN8yYxJ9FSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3kp4j8aP2g7/Rra8h+GtxoHii40WZ18VXNpcR6rdeGokIzLNpkVxDLMMLMGVJVkUoNscuWCpu39fj6Lq+g0m9jD1rxr8b4vj74NsP+ER8Hw+f4Z1yf+y4/HN99juNl1pK+dKf7KGJY/M2oPLbKzzfMmMSc/wDEYfGHxd+0N8LbPUPC3heK303TNZ1xfD1v48vDpmpywTabHFLeK2kYdreS4SWEeWSJMSB4zGFk+oNOv72+OlzQrZ3ml3Fm001+krxuZT5Zi8uEqwKOrSsSZAU2oAH3kpakkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJSmraEp3V0fOuteNfjfF8ffBth/wiPg+Hz/DOuT/2XH45vvsdxsutJXzpT/ZQxLH5m1B5bZWeb5kxiQ1rxr8b4vj74NsP+ER8Hw+f4Z1yf+y4/HN99juNl1pK+dKf7KGJY/M2oPLbKzzfMmMSfRUkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KIZ81a/r/xhP7SXgWSTwL4HXUl8JeIVgt18aXhheI3mi+Y7Sf2SCrKwiCqEYMHclk2APb1rxr8b4vj74NsP+ER8Hw+f4Z1yf+y4/HN99juNl1pK+dKf7KGJY/M2oPLbKzzfMmMSHjXWvinF+1P4R+weDfB9z5fhnxJHp/2nxbdQ/aLX7do2ZZsaY/kyjEOIl8xTvk/eDYPM+ipJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUAPnXWvGvxvi+Pvg2w/4RHwfD5/hnXJ/7Lj8c332O42XWkr50p/soYlj8zag8tsrPN8yYxJU8T+KPjrL+0N8PrSLQPC+nIvh/XbyXRbTxxdGx1JUm0yPdcs+jkq0TTq0exAx3v+8Rd0c30rJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSgB866141+N8Xx98G2H/AAiPg+Hz/DOuT/2XH45vvsdxsutJXzpT/ZQxLH5m1B5bZWeb5kxiQ1rxr8b4vj74NsP+ER8Hw+f4Z1yf+y4/HN99juNl1pK+dKf7KGJY/M2oPLbKzzfMmMSfRUkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KeU+N/iV408PfHzwZ4cTSrbTPh3qkEkU/iG6s2u3u9SOWisovKuFNtmNJXM00bISqovLZpX1S7/wBf156B0b7HF6141+N8Xx98G2H/AAiPg+Hz/DOuT/2XH45vvsdxsutJXzpT/ZQxLH5m1B5bZWeb5kxiQ1rxr8b4vj74NsP+ER8Hw+f4Z1yf+y4/HN99juNl1pK+dKf7KGJY/M2oPLbKzzfMmMSfRUkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KMD511rxr8b4vj74NsP+ER8Hw+f4Z1yf+y4/HN99juNl1pK+dKf7KGJY/M2oPLbKzzfMmMSGteNfjfF8ffBth/wiPg+Hz/DOuT/2XH45vvsdxsutJXzpT/ZQxLH5m1B5bZWeb5kxiT6KkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQA+dda8a/G+L4++DbD/hEfB8Pn+Gdcn/suPxzffY7jZdaSvnSn+yhiWPzNqDy2ys83zJjEhrXjX43xfH3wbYf8Ij4Ph8/wzrk/wDZcfjm++x3Gy60lfOlP9lDEsfmbUHltlZ5vmTGJG+Kvj18RNH8W+JfDVlbeGZpU8ZWPhjTdXntbrbZrdW9pcxtParIftBWKW5BcTwAvHEAuJDs9V+DPxC1j4meBvDmvXem2Nst1b3UWpPDcuDHeQTiDEMZQ7onKTtuZwyBYxtfexSuV2v6fik/ya+/1HJODUX1V/leyfzs/u1PLPiP41+N9h4q8FrpvhHwfD4knvTHDpFl45vriK9sC8QvnuIG0pEWKJCji5LK0UhiRDKbg2tyUftNftH6x8F/iP4R0qy8T+DtJ0O/iSbWv7e0+5nudMt2u4oFvC0dxGnks8oiAYAh/nyyLJ5ZW1ChLEJyh0dtm/yTOerV9lLlav8Ad+rR9K1UkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJS3VSSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lOc3PPvE/wI8LeLPHGs6xquiPqcXiHRJNG1iS51292PArJ5MCWW4wBcPcP5q7HjflQxldl6Pwb4Ks/h1a2mh+HtNjh0DFzdXN1dajPcXr3Tyq+52lDvOZN8zPLJLuBRBhwxKb0kl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KO72G23v/XT8tAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJRCCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lOW+Inw4sPibLY6Zrdtdz+H1hna5Flr97p7SOfLVYZILdkW5hdDNvEr7RtUbHEjFOpkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQHew0C7t9QtLe3tLVdJFvJ5kvnFJYpFMYiRIghVkKmUli6lSiAK+8lHSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koCCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAD518a618U4v2p/CP2Dwb4PufL8M+JI9P+0+LbqH7Ra/btGzLNjTH8mUYhxEvmKd8n7wbB5n0VJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSnzr411r4pxftT+EfsHg3wfc+X4Z8SR6f9p8W3UP2i1+3aNmWbGmP5MoxDiJfMU75P3g2DzPoqSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yU5PUvhnpupfE3S/FNxaXN7JaQySJJc69emC1uAqxxNFpxY2u4xyXAabCuuFAD+YxTrJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUOtw8gkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUAPM9U/Z18IanruvvPo93c2niW4TVdWvZPE2orcR6hbvCbSS1QSYgKqrDzIXiZBDEgVlP7vufDnh2HwXZaL4e0HSrOx8L2Fk0CBbhxLAyGMQosZQ71ZTKWkaQMCi8PvZk05JL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUd3aw23J3ZbooopCCqkkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KW6qSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koAEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KABJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSgASSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koAEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KABJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSlbV7/U9PkaW10oanZx2k8zxwXKpdyTrs8qGKNwsbbwZcu8sYUqgwQ7MnzhrPxC1fWv2mPh1596unLPFLZ3Xw4uPEBttb0uTa8iajNb2F5NbXdu6IQROAI/3ZUlnK0JNyUV1/yf8Al+r0B6Rcu39f1+Gpe8a618U4v2p/CP2Dwb4PufL8M+JI9P8AtPi26h+0Wv27RsyzY0x/JlGIcRL5infJ+8GweZ9FSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3kp86+Nda+KcX7U/hH7B4N8H3Pl+GfEken/afFt1D9otft2jZlmxpj+TKMQ4iXzFO+T94Ng8z6KkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAC3RRRQAVUkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJS3VSSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUAPnXxrrXxTi/an8I/YPBvg+58vwz4kj0/7T4tuoftFr9u0bMs2NMfyZRiHES+Yp3yfvBsHmfRUkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KfOvjXWvinF+1P4R+weDfB9z5fhnxJHp/2nxbdQ/aLX7do2ZZsaY/kyjEOIl8xTvk/eDYPM+ipJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAt0UUUAFVJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUt1UkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAD518a618U4v2p/CP2Dwb4PufL8M+JI9P+0+LbqH7Ra/btGzLNjTH8mUYhxEvmKd8n7wbB5n0VJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSnzr411r4pxftT+EfsHg3wfc+X4Z8SR6f8AafFt1D9otft2jZlmxpj+TKMQ4iXzFO+T94Ng8z6KkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAC3RRRQAVUkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJS3VSSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQAJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUJJL4arbxx29u2mtDK09w1wwmSUNH5aLHsIZWUylmLqVKIAr7yUACSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lAAkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQkkvhqtvHHb27aa0MrT3DXDCZJQ0flosewhlZTKWYupUogCvvJQA8K/an+IGtaN8NfiVZyaHq/hrw/YeFr6+i8eR69Bp6JqCJGbOGAQ3AudzSMykssY3RqgEiy8eTzfFTxDrH7THhWPSvE8t9b3iaC2kWVrrkrQahpk0MpvbhbNV8m6T/AI+Ge5Zy0LW1sq584ivs2SS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lCSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lLjK1tNmn626Pyez8vW5UneDh5NffbX5WuvPXofOvjXWvinF+1P4R+weDfB9z5fhnxJHp/wBp8W3UP2i1+3aNmWbGmP5MoxDiJfMU75P3g2DzPoqSS+Gq28cdvbtprQytPcNcMJklDR+Wix7CGVlMpZi6lSiAK+8lPnXxrrXxTi/an8I/YPBvg+58vwz4kj0/7T4tuoftFr9u0bMs2NMfyZRiHES+Yp3yfvBsHmfRUkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KQSEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KABJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSgASSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koSSXw1W3jjt7dtNaGVp7hrhhMkoaPy0WPYQysplLMXUqUQBX3koAEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KEkl8NVt447e3bTWhlae4a4YTJKGj8tFj2EMrKZSzF1KlEAV95KABJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeShJJfDVbeOO3t201oZWnuGuGEySho/LRY9hDKymUsxdSpRAFfeSgBbooooAKKKKACiiigAooooAKKKKACiiigAooooA+avGvxH1yw/an8I6avgvULnxJF4Z8SWum28RdtOvY5b7RmguXvhFsgiVInM4dfMiZCiJOZbU3P0rRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//Z Incorrect ]]> 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 Incorrect ]]> 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 Correct ]]> 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 Incorrect Pre-Calc/Chapter 1: Functions and Graphs/1.6 Graphical Transformations Describe how the graph of y=x2 can be transformed to the graph of the given ... Describe how the graph of y=x² can be transformed to the graph of the given equation.

y = (x - 13)² + 19]]> 1.0000000 0.3333333 0 true true abc 2 up 13 units and then right 19 units.]]> Incorrect 2 right 13 units and then up 19 units.]]> Correct 2 left 13 units and then up 19 units.]]> Incorrect 2 left 13 units and then down 19 units.]]> Incorrect Fill in the blanks to complete the statement.The graph of  can be obtained ... Fill in the blanks to complete the statement.

The graph of  can be obtained from the graph of  by shifting horizontally  ?  units to the  ?  and shifting vertically  ?  units to the  ?  direction.]]> 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 1.0000000 0.3333333 0 true true abc 10; left; 2; upward Incorrect 10; right; 2; downward Correct 10; left; 2; downward Incorrect 2; right; 10; downward Incorrect Find equation for transformation Find the equation of a base parabola that has been shifted up #a units, and left #b units.  Enter equation as y=   .

]]> 1.0000000 0.3333333 0 0 y=(x+#b )2+#a]]> Correct!

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>8</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>8</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><mo>(</mo><mi>x</mi><mo>+</mo><mo>#</mo><mi>b</mi><mo>&#160;</mo><msup><mo>)</mo><mn>2</mn></msup><mo>+</mo><mo>#</mo><mi>a</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> The graph is that of a function y = f(x) that can be obtained by transforming... The graph is that of a function y = f(x) that can be obtained by transforming the graph of y =  . Write a formula for the function f.


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1.0000000 0.3333333 0 true true abc ]]> 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Incorrect ]]> 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Correct  + 5]]> 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Incorrect  - 5]]> 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Incorrect Pre-Calc/Chapter 1: Functions and Graphs/1.7 Modeling with Functions Alcohol Mixture How many liters of a 10% alcohol solution must be mixed with #a liters of a 80% solution to get a 30% solution?  Round to the nearest tenth of a liter.

]]> 1.0000000 0.3333333 0 0 #answer]]> Nice work!

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>45</mn><mo>,</mo><mn>55</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>answer</mi><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>3</mn><mo>*</mo><mi>a</mi><mo>-</mo><mn>0</mn><mo>.</mo><mn>8</mn><mo>*</mo><mi>a</mi></mrow><mrow><mo>-</mo><mn>0</mn><mo>.</mo><mn>2</mn></mrow></mfrac></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>a</mi><mi>n</mi><mi mathvariant="normal">s</mi><mi>w</mi><mi mathvariant="normal">e</mi><mi>r</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_quantity"><param name="units"><![CDATA[m, s, g, °, ', ", sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, Ω, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat]]></param><param name="unitprefixes">M, k, c, m</param><param name="groupoperators">(,[,{</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-1)</option><option name="precision">4</option><option name="relative_tolerance">false</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Alloy Mixture Anne and Nancy need a metal alloy that is 24.34% copper to make jewelry. How many ounces of a 22% alloy must be mixed with a 28% alloy to form #a ounces of the desired alloy?  Round to the nearest ounce.

]]> 1.0000000 0.3333333 0 0 #answer]]> Great job!

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>95</mn><mo>,</mo><mn>105</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>answer</mi><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>2434</mn><mo>*</mo><mi>a</mi><mo>-</mo><mn>0</mn><mo>.</mo><mn>28</mn><mo>*</mo><mi>a</mi></mrow><mrow><mo>-</mo><mn>0</mn><mo>.</mo><mn>06</mn></mrow></mfrac></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>a</mi><mi>n</mi><mi>s</mi><mi>w</mi><mi mathvariant="normal">e</mi><mi>r</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-0)</option><option name="relative_tolerance">false</option><option name="precision">2</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Investing in Two Accounts Spanky invested $10,000, part at 5.1% annual interest and the balance at 7.9% annual interest. How much is invested in the 5.1% account if a 1-year interest payment is $#a ?  Round to the nearest dollar.

 

]]> 1.0000000 0.3333333 0 0 #answer]]> Nice work!

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>650</mn><mo>,</mo><mn>700</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>answer</mi><mo>=</mo><mfrac><mrow><mi>a</mi><mo>-</mo><mn>790</mn></mrow><mrow><mo>-</mo><mn>0</mn><mo>.</mo><mn>028</mn></mrow></mfrac></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>a</mi><mi>n</mi><mi mathvariant="normal">s</mi><mi>w</mi><mi mathvariant="normal">e</mi><mi>r</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_quantity"><param name="units"><![CDATA[m, s, g, °, ', ", sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, Ω, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat]]></param><param name="unitprefixes">M, k, c, m</param><param name="groupoperators">(,[,{</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-0)</option><option name="precision">4</option><option name="relative_tolerance">false</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Match situation with function Match the following:

]]> 1.0000000 0.3333333 0 true Your answer is correct.

]]> Your answer is partially correct.

]]> Your answer is incorrect.

]]> A rectangular building lot is #a times as long as it is wide.  Find a function to represent its area A in terms of the width w.

]]> A=#a w^2 A poster is #b inches longer than it is wide.  Find a function to represent its area A in terms of the width w.

]]> A=#b w + w^2 A height of a cylinder is #c times its radius.  Find a function to represent its Volume V in terms of the radius r.

]]> V=3.14*#c*r^2 A=(#a+ w)^2 A=#b w + #b w^2 <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>4</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>8</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>4</mn><mo>)</mo></math></input></command></group></library></session>]]></wirisCasSession><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question> Max Volume of Box (needs work) A square of side x inches is cut out of each corner of a #a in. by #b in. piece of cardboard, and the sides are folded up to form an open-topped box. Use your graphing calculator to determine the dimensions of the cut-out squares that will produce the box of maximum volume.  Round to the nearest tenth.
(Hint: you will first need to write the volume of the box V as a function of x.)

]]> 1.0000000 0.3333333 0 0 #answer]]> Great job!

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>6</mn><mo>,</mo><mn>8</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>9</mn><mo>,</mo><mn>12</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>maximum</mi><mo>(</mo><mi>x</mi><mo>(</mo><mi>a</mi><mo>-</mo><mn>2</mn><mo>*</mo><mi>x</mi><mo>)</mo><mo>(</mo><mi>b</mi><mo>-</mo><mn>2</mn><mo>*</mo><mi>x</mi><mo>)</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>answer</mi><mo>=</mo><msub><mi>m</mi><mi>x</mi></msub></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>a</mi><mi>n</mi><mi>s</mi><mi>w</mi><mi mathvariant="normal">e</mi><mi>r</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_quantity"><param name="units"><![CDATA[m, s, g, °, ', ", sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, Ω, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat]]></param><param name="unitprefixes">M, k, c, m</param><param name="groupoperators">(,[,{</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-1)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Rate Conversion A tire of a moving bicycle has radius #a inches. If the tire is making 1.8 revolutions per second, find the bicycle's speed in miles per hour.  Round to the nearest mph.

]]> 1.0000000 0.3333333 0 0 #answer]]> Nice work.

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>12</mn><mo>,</mo><mn>19</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>answer</mi><mo>=</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>8</mn><mo>*</mo><mn>2</mn><mo>*</mo><pi/><mo>*</mo><mi>a</mi><mo>*</mo><mn>3600</mn></mrow><mrow><mn>12</mn><mo>*</mo><mn>5280</mn></mrow></mfrac><mo>*</mo><mn>1</mn><mo>.</mo></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>a</mi><mi>n</mi><mi>s</mi><mi>w</mi><mi mathvariant="normal">e</mi><mi>r</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_quantity"><param name="units"><![CDATA[m, s, g, °, ', ", sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, Ω, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat]]></param><param name="unitprefixes">M, k, c, m</param><param name="groupoperators">(,[,{</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-0)</option><option name="relative_tolerance">false</option><option name="precision">2</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Silver Iodide Mixture In a chemistry class, #a liters of a 4% silver iodide solution must be mixed with a 10% solution to get a 6% solution. How many liters of the 10% solution are needed?  Round to the nearest tenth of a liter.

]]> 1.0000000 0.3333333 0 0 #answer]]> Nice work!

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mn>20</mn><mo>,</mo><mn>30</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>answer</mi><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>06</mn><mo>*</mo><mi>a</mi><mo>-</mo><mn>0</mn><mo>.</mo><mn>04</mn><mo>*</mo><mi>a</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>04</mn></mrow></mfrac></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>a</mi><mi>n</mi><mi mathvariant="normal">s</mi><mi>w</mi><mi mathvariant="normal">e</mi><mi>r</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_quantity"><param name="units"><![CDATA[m, s, g, °, ', ", sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, Ω, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat]]></param><param name="unitprefixes">M, k, c, m</param><param name="groupoperators">(,[,{</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-1)</option><option name="precision">4</option><option name="relative_tolerance">false</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Silver Iodide Mixture (Simple Calculated) In a chemistry class, {a} liters of a 4% silver iodide solution must be mixed with a 10% solution to get a 6% solution. How many liters of the 10% solution are needed?

]]> 1.0000000 0.3333333 0 0 0 abc 0 .02*{a}/.04 0.1 1 1 1 Great job!

]]> 0 0.1000000 3 0 private a calculatedsimple uniform 1.0 10.0 1 20 1 5.7 2 2.3 3 9.7 4 2.6 5 4.8 6 1.9 7 3.5 8 4.8 9 5.7 10 3.9 11 8.3 12 4.8 13 8.5 14 2.7 15 4.9 16 4.5 17 6.8 18 7.5 19 2.6 20 4.5 20 Solve the problem.  Anne and Nancy use a metal alloy that is 24.34% copper ... Solve the problem.  

Anne and Nancy use a metal alloy that is 24.34% copper to make jewelry. How many ounces of a 22% alloy must be mixed with a 28% alloy to form 100 ounces of the desired alloy?]]> 1.0000000 0.3333333 0 true true abc 61 ounces Correct 39 ounces Incorrect 44 ounces Incorrect 63 ounces Incorrect Solve the problem.  How many liters of a 10% alcohol solution must be mixed... Solve the problem.  

How many liters of a 10% alcohol solution must be mixed with 50 liters of a 80% solution to get a 30% solution?]]> 1.0000000 0.3333333 0 true true abc 12.5 L Incorrect 17.5 L Incorrect 175 L Incorrect 125 L Correct Solve the problem.  In a chemistry class, 9 liters of a 4% silver iodide ... Solve the problem.  

In a chemistry class, 9 liters of a 4% silver iodide solution must be mixed with a 10% solution to get a 6% solution. How many liters of the 10% solution are needed?]]> 1.0000000 0.3333333 0 true true abc 9.0 L Incorrect 3.5 L Incorrect 4.5 L Correct 5.5 L Incorrect Solve the problem.  Sue invested $10,000, part at 5.1% annual interest and ... Solve the problem.  

Sue invested $10,000, part at 5.1% annual interest and the balance at 7.9% annual interest. How much is invested at each rate if a 1-year interest payment is ]]> 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 1.0000000 0.3333333 0 true true abc $4040 at 5.1% and $5960 at 7.9% Correct $4140 at 5.1% and $5860 at 7.9% Incorrect $3940 at 5.1% and $5140 at 7.9% Incorrect $5960 at 5.1% and $4040 at 7.9% Incorrect Swimming Pool Dimensions A construction company builds a swimming pool with a perimeter of #a m. The length is 5 m more than the width. Find the dimensions of the swimming pool to the nearest meter.

]]> 1.0000000 0.3333333 0 0 Width= #widLength= #len]]> Correct!

]]> <question><wirisCasSession><![CDATA[<session lang="en" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="en">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>random</mi><mo>(</mo><mo>{</mo><mn>46</mn><mo>,</mo><mo>&nbsp;</mo><mn>50</mn><mo>,</mo><mo>&nbsp;</mo><mn>54</mn><mo>,</mo><mo>&nbsp;</mo><mn>58</mn><mo>,</mo><mo>&nbsp;</mo><mn>62</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>wid</mi><mo>=</mo><mfrac><mrow><mi>a</mi><mo>-</mo><mn>10</mn></mrow><mn>4</mn></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>len</mi><mo>=</mo><mi>wid</mi><mo>+</mo><mn>5</mn></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>W</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">d</mi><mi>t</mi><mi>h</mi><mo>=</mo><mo>&#160;</mo><mo>#</mo><mi>w</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">d</mi><mspace linebreak="newline"/><mi>L</mi><mi mathvariant="normal">e</mi><mi>n</mi><mi>g</mi><mi>t</mi><mi>h</mi><mo>=</mo><mo>&#160;</mo><mo>#</mo><mi>l</mi><mi mathvariant="normal">e</mi><mi>n</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_quantity"><param name="units"><![CDATA[m, s, g, °, ', ", sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, Ω, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat]]></param><param name="unitprefixes">M, k, c, m</param><param name="groupoperators">(,[,{</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-0)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputCompound">true</data><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Use an equation to solve the problem.A tire of a moving bicycle has radius ... Use an equation to solve the problem.

A tire of a moving bicycle has radius 15 inches. If the tire is making 1.8 rotations per second, find the bicycle's speed in miles per hour.]]> 1.0000000 0.3333333 0 true true abc 9.6 mph Correct 11.1 mph Incorrect 10.4 mph Incorrect 5.4 mph Incorrect Use an equation to solve the problem.A construction company builds a swimming... Use an equation to solve the problem.

A construction company builds a swimming pool with a perimeter of 54 m. The length is 5 m more than the width. Find the dimensions of the swimming pool?]]> 1.0000000 0.3333333 0 true true abc 16 m × 5 m Incorrect 21 m × 11 m Incorrect 16 m × 11 m Correct 11 m × 11 m Incorrect Use an equation to solve the problem.A square of side x inches is cut out of ... Use an equation to solve the problem.

A square of side x inches is cut out of each corner of an 8 in. by 12 in. piece of cardboard, and the sides are folded up to form an open-topped box. Use your graphing calculator to determine the dimensions of the cut-out squares that will produce the box of maximum volume.
(Hint: you will first need to write the volume of the box V as a function of x.)]]> 1.0000000 0.3333333 0 true true abc 1.4 inches by 1.4 inches Incorrect 1.8 inches by 1.8 inches Incorrect 1.7 inches by 1.7 inches Incorrect 1.6 inches by 1.6 inches Correct Write a mathematical expression for the quantity described verbally.A salary ... Write a mathematical expression for the quantity described verbally.

A salary after a 4.7% increase, if the original salary is x dollars]]> 1.0000000 0.3333333 0 true true abc 1.047x Correct 4.7x Incorrect 5.7x Incorrect 0.047x Incorrect Write a mathematical expression for the quantity described verbally.The ... Write a mathematical expression for the quantity described verbally.

The revenue when each item sells for $25,000.]]> 1.0000000 0.3333333 0 true true abc 25,000x Correct 25,000 - x Incorrect 25,000 + x Incorrect x - 25,000 Incorrect Write a mathematical expression for the quantity described verbally.The total... Write a mathematical expression for the quantity described verbally.

The total cost if $20,000 plus $3.25 for each item produced.]]> 1.0000000 0.3333333 0 true true abc $(20,000 - 3.25x) Incorrect $(20,000 + 3.25)x Incorrect $(20,000x + 3.25) Incorrect $(20,000 + 3.25x) Correct