<?xml version="1.0" encoding="UTF-8"?>
<quiz>
 <!-- categoryid: 552 -->
 <question type="category"><category><text>Discrete Probability Distributions/Probability Distributions</text></category></question>
 
 <!-- resourceid-resourcedataid: 5550-4965 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 37</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Hurricanes</strong></p>
<p>The histogram shows the distribution of hurricanes that have hit the U.S. mainland by category, with 1 the weakest level and 5 the strongest.</p>
<p style="text-align: center;"><img src="@@PLUGINFILE@@/Question37.jpg" alt="" width="362" height="218" /></p>
<ol>
<li>Find the mean of the probability distribution to three significant digits.<br />{#1}<br /><br /></li>
<li>Find the variance of the probability distribution to three significant digits.<br />{#2}<br /><br /></li>
<li>Find the standard deviation of the probability distribution to three significant digits.<br />{#3}<br /><br /></li>
<li>Find the expected value of the probability distribution to three significant digits<br />{#4}</li>
</ol>]]></text>
<file name="Question37.jpg" encoding="base64">/9j/4AAQSkZJRgABAQEASABIAAD/4gXASUNDX1BST0ZJTEUAAQEAAAWwYXBwbAIgAABtbnRyUkdCIFhZWiAH0gAFAA0ADAAAAABhY3NwQVBQTAAAAABhcHBsAAAAAAAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLWFwcGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA1yWFlaAAABIAAAABRnWFlaAAABNAAAABRiWFlaAAABSAAAABR3dHB0AAABXAAAABRjaGFkAAABcAAAACxyVFJDAAABnAAAAA5nVFJDAAABnAAAAA5iVFJDAAABnAAAAA5kZXNjAAAFQAAAAG9jcHJ0AAACFAAAADh2Y2d0AAABrAAAADBuZGluAAAB3AAAADhkc2NtAAACTAAAAvJYWVogAAAAAAAAdEsAAD4dAAADy1hZWiAAAAAAAABacwAArKYAABcmWFlaIAAAAAAAACgYAAAVVwAAuDNYWVogAAAAAAAA81IAAQAAAAEWz3NmMzIAAAAAAAEMQgAABd7///MmAAAHkgAA/ZH///ui///9owAAA9wAAMBsY3VydgAAAAAAAAABAc0AAHZjZ3QAAAAAAAAAAQAAuFIAAAAAAAEAAAAAuFIAAAAAAAEAAAAAuFIAAAAAAAEAAG5kaW4AAAAAAAAAOAAAoUgAAFcKAABLhQAAmuEAACeuAAATtgAAUA0AAFQ5AAKAAAACgAAAAoAAdGV4dAAAAABDb3B5cmlnaHQgMjAwNyBBcHBsZSBJbmMuLCBhbGwgcmlnaHRzIHJlc2VydmVkLgBtbHVjAAAAAAAAABEAAAAMZW5VUwAAACYAAAJ+ZXNFUwAAACYAAAGCZGFESwAAAC4AAAHqZGVERQAAACwAAAGoZmlGSQAAACgAAADcZnJGVQAAACgAAAEqaXRJVAAAACgAAAJWbmxOTAAAACgAAAIYbmJOTwAAACYAAAEEcHRCUgAAACYAAAGCc3ZTRQAAACYAAAEEamFKUAAAABoAAAFSa29LUgAAABYAAAJAemhUVwAAABYAAAFsemhDTgAAABYAAAHUcnVSVQAAACIAAAKkcGxQTAAAACwAAALGAFkAbABlAGkAbgBlAG4AIABSAEcAQgAtAHAAcgBvAGYAaQBpAGwAaQBHAGUAbgBlAHIAaQBzAGsAIABSAEcAQgAtAHAAcgBvAGYAaQBsAFAAcgBvAGYAaQBsACAARwDpAG4A6QByAGkAcQB1AGUAIABSAFYAQk4AgiwAIABSAEcAQgAgMNcw7TDVMKEwpDDrkBp1KAAgAFIARwBCACCCcl9pY8+P8ABQAGUAcgBmAGkAbAAgAFIARwBCACAARwBlAG4A6QByAGkAYwBvAEEAbABsAGcAZQBtAGUAaQBuAGUAcwAgAFIARwBCAC0AUAByAG8AZgBpAGxmbpAaACAAUgBHAEIAIGPPj/Blh072AEcAZQBuAGUAcgBlAGwAIABSAEcAQgAtAGIAZQBzAGsAcgBpAHYAZQBsAHMAZQBBAGwAZwBlAG0AZQBlAG4AIABSAEcAQgAtAHAAcgBvAGYAaQBlAGzHfLwYACAAUgBHAEIAINUEuFzTDMd8AFAAcgBvAGYAaQBsAG8AIABSAEcAQgAgAEcAZQBuAGUAcgBpAGMAbwBHAGUAbgBlAHIAaQBjACAAUgBHAEIAIABQAHIAbwBmAGkAbABlBB4EMQRJBDgEOQAgBD8EQAQ+BEQEOAQ7BEwAIABSAEcAQgBVAG4AaQB3AGUAcgBzAGEAbABuAHkAIABwAHIAbwBmAGkAbAAgAFIARwBCAABkZXNjAAAAAAAAABRHZW5lcmljIFJHQiBQcm9maWxlAAAAAAAAAAAAAAAUR2VuZXJpYyBSR0IgUHJvZmlsZQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/+EAdEV4aWYAAE1NACoAAAAIAAQBGgAFAAAAAQAAAD4BGwAFAAAAAQAAAEYBKAADAAAAAQACAACHaQAEAAAAAQAAAE4AAAAAAAAASAAAAAEAAABIAAAAAQACoAIABAAAAAEAAAFqoAMABAAAAAEAAADaAAAAAP/bAEMAAgICAgIBAgICAgICAgMDBgQDAwMDBwUFBAYIBwgICAcICAkKDQsJCQwKCAgLDwsMDQ4ODg4JCxARDw4RDQ4ODv/bAEMBAgICAwMDBgQEBg4JCAkODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODv/AABEIANoBagMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/AP2R8C+BfC+ufDCw1fV9Pn1DU7uW4lubme+nZ5GM8mSTvrrv+FYeBv8AoB/+Tk//AMXR8MP+SHaJ/wBtv/R8ld7QBwX/AArDwN/0A/8Aycn/APi6P+FYeBv+gH/5OT//ABdd7RQBwX/CsPA3/QD/APJyf/4uj/hWHgb/AKAf/k5P/wDF13tFAHBf8Kw8Df8AQD/8nJ//AIuj/hWHgb/oB/8Ak5P/APF13tc3pvjLwhrPj7X/AAppHirw3qvinQhEdb0ez1OGa803zV3RfaIVYvFvUZXeBuHIzRuHS5jf8Kw8Df8AQD/8nJ//AIuj/hWHgb/oB/8Ak5P/APF1ueGvF3hPxno91qPg/wAT+HvFen2t7LZXNzo+oxXcUNxEcSQu0bMFkQ8MhOVPUCuhoA4L/hWHgb/oB/8Ak5P/APF0f8Kw8Df9AP8A8nJ//i672uM1T4i+A9E+MXhz4e6v4v8AD2m+Odfhln0TQbi9RLy/jiVmkaKIncwUKxJA/hPoaOqXcOjfYq/8Kw8Df9AP/wAnJ/8A4uj/AIVh4G/6Af8A5OT/APxdd7RQBwX/AArDwN/0A/8Aycn/APi6P+FYeBv+gH/5OT//ABdd7RQBwX/CsPA3/QD/APJyf/4uj/hWHgb/AKAf/k5P/wDF13tc34o8ZeEPA+gw6r418V+G/CGlzXAt4rzW9ThsoZJSrMI1eVlBchWIUHOFJ7GhsaTZjf8ACsPA3/QD/wDJyf8A+Lo/4Vh4G/6Af/k5P/8AF1z/APw0B8C2sr+4g+MnwwvlsrGe+uUsvE9pcSJBBE000nlxyMxVI0d2wDhVJ7V2/gzxl4Y+IXwu0Txr4L1m18QeFtYthc6bqNsGEdxGSQGG4A9QeoB4p2f9f15P7hX/AK/r1X3mR/wrDwN/0A//ACcn/wDi6P8AhWHgb/oB/wDk5P8A/F13tJkbiMjI6ikBwf8AwrDwN/0A/wDycn/+Lo/4Vh4G/wCgH/5OT/8AxdbOp+MvCGieO/D/AIW1nxV4b0jxNrxlGh6Re6nDDeamYl3S/Z4WYPNsUhm2A7RycU+Dxd4TuviZfeCrbxP4euPGVlZJe3mgxajE1/b27nak0kAbzFjY8ByoBPQ0A9NzD/4Vh4G/6Af/AJOT/wDxdH/CsPA3/QD/APJyf/4uu9ooA4L/AIVh4G/6Af8A5OT/APxdH/CsPA3/AEA//Jyf/wCLrva5/wAS+LfCvgzw9Hq/jDxN4f8ACmkyXMdql7rOoxWcDTSttjiDyMql3YgKuck8AGgDC/4Vh4G/6Af/AJOT/wDxdH/CsPA3/QD/APJyf/4utnVPGXhDRPHXh7wvrPivw3pHibXjKNC0i91OGG81MxLul+zwswebYpBbYDtBycVn+C/iN4C+I+j6tqPgLxh4e8YWGmanJpmoXGk3yXCW13GFLwOVJAdQykj/AGh60LX+vl+o2rf1/XZlb/hWHgb/AKAf/k5P/wDF0f8ACsPA3/QD/wDJyf8A+Lrva4T4i/E3wF8JPhZc+NviP4n07wl4Ut54oJtSvC3lI8rhI1+UE8sQOlAJNjf+FYeBv+gH/wCTk/8A8XR/wrDwN/0A/wDycn/+Lru0dZIlkRgyMAVI7g06gSdzgv8AhWHgb/oB/wDk5P8A/F0f8Kw8Df8AQD/8nJ//AIutnxH4x8IeD10c+LfFXhvwsNW1GPTdKOr6nDafbruTPl20PmMPMmbB2xrljg4FO1Hxf4T0fx5oHhXVvFHh3S/E+uiY6Jo93qUUV5qfkpvm+zwswebYvzNsB2jk4FNJvb+uo7MxP+FYeBv+gH/5OT//ABdH/CsPA3/QD/8AJyf/AOLrb8U+L/CfgbwXdeJPGvifw94P8PWxAuNU1vUYrO1iycDdLKyqMnpk81H4R8a+DfiB4Lh8SeA/Fvhrxr4dmkaOLVNB1OG+tXZThlEsTMpIPBGcg9aS1vboJ6GR/wAKw8Df9AP/AMnJ/wD4uj/hWHgb/oB/+Tk//wAXXe0UAcF/wrDwN/0A/wDycn/+Lo/4Vh4G/wCgH/5OT/8Axdd7RQBwX/CsPA3/AEA//Jyf/wCLo/4Vh4G/6Af/AJOT/wDxdd7RQBwX/CsPA3/QD/8AJyf/AOLr5ctfEPiGx0y3srXxDr8VtbxLFCn9pTHaqjAGS2TwO9fcFfBB6mgD66+GH/JDtE/7bf8Ao+Su9rgvhh/yQ7RP+23/AKPkrvaACiiigAooooAK/ETR/H3x/wDAn/Bf/wDbbl+BHwHs/jldXieH11mCfxba6L/ZyLp8flMGuCBJvLSDC8jZnvX7d14Z4G/Z/wDBngD9sX4w/G7R9S8TXPiz4kLYLrlre3MLWVuLOHyYvs6LErrleW3u+T029KhRftlLpaS++wqmtPl84v7mfiz+zh8ZPiT8Jv8AglL4L1zwrrEXgrVfEf7XceieJ0a2trpPsVzGhurbdMjqoygHmJhhtyGGa+sPjt+0/wDG3wX+2/8AtmeDfDXjOKx8PeBfgdH4j8L2p0izlOnakxtQZ97xFpD++Y7JS6dPlr32+/4J6fA3Uf2G/EPwEutW+IUvhrVPGsni+LVjqVuNT0/UXwC0Ei24jCbAybXjY7XbnOGGL4X/AOCbvwU8MW3xUZfG3xo17VPiJ4Nfwx4n1XWvEMF5eXETyRyPdCSS3JFwTEgy25AFwE70mnKEVtaNrLv7FQS9FNXT16PfVaycVO61vLX/AMHObenVwdn81tZP5F8Z/Hb9uX4ef8EuPhb8btW+LvgjWfGXxU8aeHF8OaZb+GbVLPSrG8tbuU2spMIZvO22rSPksh8xUYfePoHiHVfi78KP+CpX7FXh741+K/BnxY8Z/wDCO+LbzXvFMXg2wgu544rW4nhjt5RAJLcIg8v90UD5bcDuwPtvxr+yP8NvHf7JHwa+DGsaz42t/C3w01DSb7Qrmzvbdby5fTYGggFy7QMjKysS4REJP3SvSuv8bfs9eCPHv7Z3wq+OWt3/AIjTxV4As7+10ixtp4Rp9yl7C0Mv2hGiZ3IVzt2yIM9Qw4rqquHtpSp6Lmlbyj7Plj8779er3ZnFL2SjL+VX85c7b+VrW+7ofnj8BPix+2H8Uv2V7/8Aa/8AEX7Qfwu8IfCe8tdfmk8Ear4UT7FoEFtDdQ21z9riQ3Mxju4omaJjl4i+GLFY65H9nL9rT4z3v/BT34SfDrW/jxq3x8+G/wARdD1G5iv9T+EY8JxWs9vbzTo9i5VHuYT5W0yHIwcFA3I+ltE/4Jgfs+aHr+sxW/if4zT+Ar3+0GtvAM/iwnQdOlvbWW0lnghEYcSrFM6o7yMwyMlsVu/Cj/gnd8M/hT+0f8OPifD8Wv2gfHWteBbGaw8M2Pi3xPb3tjY2kltJbC3jjFqpjiRJWKpGyKCBwQMVnHl501olG1t3flktXrd3cWn+PQKqvCSvrdu+3VNadNNGtulur/ObQf2tf25rb9inwP8AtV658YPBur+AofiWvhi/8Fr4UtIpdVt2nkLyzTrCCjD/AFKrEVwiI5Yvu3+vftF/taftKar/AMFBfjn8OPg14z8X+BNL+GOnWy6Vpfhb4THxbL4mv5bcTeXezbH+wxs+YkcDGMnDEEj7WX9gD4NL+wBp37OP/CR/Es+B7LxaPE0d8dRtP7Ra6EjSbGk+y+X5WWIwIw2P4s81a+Kf7C3w++I/7T+tfGDQPif8ePgp4512zitfEd78N/F50oawkSJHGZwY35VI0XClVO3JUtknN7RXZv8AGENX3tPn0d1qnY0qtSqzlHZ/d8ctPK8OXVa6Wv1Pgn45/tZfta6Rq3wG13xd4o8Vfsm/DHXvh7bXniLxVa/Chdegh8QO7pNbXkNzmW1iygKIu6QCRSUlzmP9efEnw++GPx1+BPhqz+Ifh7wl8U/C80dvqtk15arcWc8hhIS6iB4wySttI/hevmn4pfsB/D/4tWeiaX4i+MX7R1n4VtdA07RtV8OWPjbGna/FYkGGW+ikhfzpyQpaTIJKhhtb5q+2ND0XTPDfgnR/Dui2q2OjaXYxWVhbKxIhhiQJGgJJJAVQOTnitZOMoTTWvM2vS7a+7S1u3cwSlGUGn9mz9bL/AIN7/J2Z+DP7KPwW+E8n/BFf9rb4mSfD7wvL8QNDuvG1jpHiCSzDXllbrpRjEUUh5RQkki4GOHb1NM/Zj+Jv7U3wN8G/sDf2/wDE/wAMeKvgj8Ub1vD1p4Ki0CCGXSrcyhYJTdCISSSgS7j8wA2BTvyWH6vfD79kz4cfDb9jX4n/AAO0HWPGlz4T8d3Gqz6xd315bvfQtqUIhn8l1gVFCqBs3I2D13ViD9i74V/8K/8A2bPDZ1vx41h8EdSS/wDCrG+tvMvJFKkC9P2fEikoMiMRHrzUUZODpt62VFNdHyq1T83Z/Pc0xLVSnOK0d6zXdc1nT+WmqPzL8Xftr/Gfw1+1L4R8V+Ef2moPi94Bv/ivD4b1jwtpXwhNn4dtLOSZ1MUGtyxq1zcKiqQFcbid6s8YOfZf2fPBPxwi/wCDkD9qm7ufjVZXOl6XJpF34rsl8J2y/wBv2FxZytp9mr9bY2qNGplQ7pfLy2dxr1+L/glv8D7fVtLitviZ+0Hb+D9J8Wr4m0XwaPFkMmjaddiQuRHBJbN8pyFLljLtGPMyWJ+g7n9kjwI3/BShv2odM8YfE/w94zuoIYta0TTNcWLRda8m3NvEbqAxl5NqbCFEgXdGrbQdxYopRdJvdXv84x+/VPvo7dWFd3ddLZ2t02m38vdt6PVbI+NP2+dd8eeGf+CuP7CeufDLwPD8SfHVq/iNtK8NS6rHp66gxt7ZWU3EpCR4Qu+W4+XHevJvhT8TPiov/BZz9rj4jfFrwp4Z/Z48f6b8B/tBtdV1dNZ0/SvK+yGC5nlts+bGcK7ImWx8oBav1Z8ffs/+DPiL+1z8GvjPrmpeJrbxR8NGv20K1srmFLO4N5EsUv2hWiZ2wFBXY6YPXcOK43xT+yF8KPGn7RXxd+JPiSfxXqGpfEfwQPCHiDTft0aWSWQEeHgCxCRJv3SHcZGGR92sqSnTirLVe1+XNCSi9LdWk+yCdpTbez9n8+WcW07+SbXmflr4F/ar/ae1n9qrQfhl4P8A2jdU+MUXxI8Ca3ceFdd1b4NxeGoNP1S3sri4tZbLzoh9rgMkKqXdXXDEGMNzXf8Awu/bw+KPxnH7GnhHwj4vsk8a3MGqat8cfI06zmn+x6UG3RyxGMra/axEzgxiMqZI9uAcV9Z/Cb/gnh8NPhN+0p8NvijB8Wv2gfHWt+A7Kax8MWPi3xNb31hY2sltJbC3jjFqrRxIkjFUjZFBA4wMV3fwY/Yf+CnwK/a8+Jfxp8HHxTeeKfGn2pby11W6glsdPiubn7TNFaxpCjIhcIMO7kKgGeueiWnKovZN6rqnJwT7p8y5u6ik7kuKs31dur2aSlbs1a8ezbZ+X3wo/bT/AGx/iB4v+HPxa0nUvG/jLw34i8dpY6x8MtJ+DEsmiaZo5naGSaHXEQvLLGFHBb5XbLEhWSvsX/gra91F/wAEsNMlsYFur1PiFpDW8LdJHBm2qeR1OB1FejeBf+Ce3w4+GfxZ03WvAHxg/aR8J+CrDxAmtW3w60/x2yeG/OSRZBG9t5ReSIsq7g8hZgMFiOK+hf2gv2f/AAZ+0l8DbP4f+OtR8S6Zottrlrq6S6HcwwztNbliilpYpF2HccgKD6EVDScKKWnLODfdJSg3q73ejet9fuGm1Oq3reMkuzbUktOm6Ttb9T8tPEvj/wDaB8d/8F2P2GH+PHwEs/gbPZXWvDRY4PF9rrX9pq9iPNYm3J8ry9sfDfe8zjpXzB8TLr4i+NP+CSvxz1HRvEfg/wAF+GdD/acvrDU9E0bwVY2n9qbp7AWUjSQIhDQOWYsVaSUbVZyF5/enx7+z94M+Iv7W/wAGfjNrepeJrXxR8M2vm0G1sbmFLO4N5EsUv2hWiZ3wFBXY6YOc56V4xd/sEfBi+/Y7+LHwTudZ+IU3hjx/42l8X6neNqVuL2yv5Hhf/R2W3CCJTCuFkSQ4LZY8EFBqCTktm3p/18py0fRtRfo+wct3JX3SXf7E47dUnJfI7zxZ4M+Ntt/wS18TeENQ+M2n6h8Y4/D1yLnx8fCdukU+HaRj9gUiJSbfMPHAJ34J4r8StW8P/EfS/wDg0QXVvFPxBt/FHhHVtY0uTwhoK6JFav4ejTVrhZ42nX5rnzJMOC/KcgZFf0D/AA9+F2neAP2Y9M+FsviXxn470y1sp7SfV/FeqG81S+SZ5GczThVLH94VBAGFCjtmvkDS/wDgm38HtM/Yx8Z/AU/Eb456h8Pdf1Wzv4rW88Q20raObaeSdYrINamOFHeVjJ8jFzg5B5rT3fbVNdJOm7rTSM23ZdHZ3VtrNddSlpClf7PP/wCTRSWvXVarzT6HzRp37Sf7Vf7Nv7U3xf8AAPxz+IPhP42R6Z8CJ/iDoqWmgQ6ZDYXkTiNLUNDGjvDv3oxfczKsbDYS6nJ/Zc/ac/a68V/tU/Am98T6/wDEH4sfDr4hQzP4ssZ/gvJoumeEhJF5lrJaanGgW6i3EL5rMVKKeGLK4/SHxX+yf8K/HH7WOs/FzxS3iTVtT1b4bzeAdS0R7yNdMuNLmd3kJVYxMJjvZd6ygAYwoIzXn3wW/Yd8KfA34r+HNf8ADfxu/aT1zw54f8/+w/BGveNvtHh6yEscke1bRYVBCCRtoJ4OGOSM0qU37bmnt+nNLT5pxV99N9DLkao8q3/+1jr8pKTttrs9jyP/AIKXMqeH/wBkJ3ZURf2htBLMxwANs/JNaf7RV1bv/wAHB/7Adms0bXcVj4tlkiB+ZUfTQFYj0JRwP9019Y/tB/s8/DT9pr9nq6+G/wAUNPvbnSGuVu7G90+cQ3um3KqyrcQOVZQ4V3GGVlIYgqRXi/wS/YQ+FHwY/aG/4WzP4t+K/wAW/iPBpp07Std+IXiBdSn0m3KsjJbFYk2ZV2XJ3FVZgu0M2Zw0nTqcz6OTXneHLby1/AuqrxdvtRUfS0m7+ej+889/4KLfs+fFP44/CP4Va78KNA8LfEHVPAXik61eeB/EExWz1+MKo8tlMiJJtKlTGzpuSSQBwflbY/4J6fEf4YeO/wBnv4jw+BPgef2dvEuleM5YPHPg2MuLa31PyYoi8KsFEQKQorQiOPY6MCpJ8x6Nl/wTY+EWifA/w54N8KfFH9oDwZeaFr2o6tpviXQfFcVlqsZ1BLdLm3MkduEMLC1gONgbK/ewSDpyf8E3/gC37I1n8IYtV+JVvYjxtD4w1TxENZil1jWdSijkjD3M0kDIUKyN8qRpz8wIYsWrD2hzq+krfe+S/qklt1aTVr3NK7UrW+zzW80ufl9HJta9E2nex9/UUgGFA9BS1BIUUUUAFFFFABXwQepr73r4IPU0AfXXww/5Idon/bb/ANHyV3tcF8MP+SHaJ/22/wDR8ld7QAUUUUAFFfBUNxrOg/t1ajr8vhn4svrukeJtZ1HxdqcPhzVrmw1Hw2dM22NtZuivb3Tif7FstbcmYSxXT+WpeQvx3jjw78Wrz9p34oav8QNJ8f6N4V1fw3+41bQ7W88S6bZQ2euWrWFnHpliFuJWngWSS5VB5n7+4BcRJHtSu1Tf88W9elouVn56W9dN9HTWsl2kl63kldeWt13Vu5+k1Fflza2vxI1rX/CM+tfDzx5oPiWeDw/D8PX0Hw9qtlpVgtp4mvn1C8mjZ3Gkm5037HPLb30iyNFJ9mzM6PHX6canaXN9ok9raaneaNcSAbLy1jieSLBBOBKjocgEcqeD64NaThy3Xm/69e+mndk/8D8vy7PqXqK8d8I6b4u8QeCl1O7+JnimGY3t3Bth0/TQu2G5lhU82pOSsYJ56k4wOK6X/hEvE3/RUfGP/gBpf/yJUAd7RXxf8RPHfxM8G/GufT7Lxlq154O0nUvDWn6xNPb2Ivp5dc1I2CGALY7FWAmGRixbzA7r+7Kbmk+I3jr4k+Av2rfA3giLxf4p1zS/Esd0tukeiQQy74dPvLtdt42n/ZJJXktRCLNXM5WXzsbEYUN2hzPbVfcrv8PvGld6f1rb8z7Mor8xI/2h/jDL4OuSvi7bqkCxXVxqUmiyrp9okumS3qWdxGdJ8+C4MsMlt5kiqnAbb5p+yV9weFbDxD4p+GHhvxPD8SfGlpDq+l29/HA9npTNEJolkCki0wSN2MiqcGpSi942v872/J/d6Ecy93+9e3ytf81/SdvW6K4L/hEvE3/RUfGP/gBpf/yJR/wiXib/AKKj4x/8ANL/APkSpKO9orgv+ES8Tf8ARUfGP/gBpf8A8iUf8Il4m/6Kj4x/8ANL/wDkSgDvaK4L/hEvE3/RUfGP/gBpf/yJR/wiXib/AKKj4x/8ANL/APkSgDvaK4L/AIRLxN/0VHxj/wCAGl//ACJR/wAIl4m/6Kj4x/8AADS//kSgDvaK4L/hEvE3/RUfGP8A4AaX/wDIlH/CJeJv+io+Mf8AwA0v/wCRKAO9orgv+ES8Tf8ARUfGP/gBpf8A8iUf8Il4m/6Kj4x/8ANL/wDkSgDvaK4L/hEvE3/RUfGP/gBpf/yJR/wiXib/AKKj4x/8ANL/APkSgDvaK4L/AIRLxN/0VHxj/wCAGl//ACJR/wAIl4m/6Kj4x/8AADS//kSgDvaK4L/hEvE3/RUfGP8A4AaX/wDIlH/CJeJv+io+Mf8AwA0v/wCRKAO9orgv+ES8Tf8ARUfGP/gBpf8A8iUf8Il4m/6Kj4x/8ANL/wDkSgDvaK4L/hEvE3/RUfGP/gBpf/yJR/wiXib/AKKj4x/8ANL/APkSgDvaK4L/AIRLxN/0VHxj/wCAGl//ACJR/wAIl4m/6Kj4x/8AADS//kSgDvaK4L/hEvE3/RUfGP8A4AaX/wDIlH/CJeJv+io+Mf8AwA0v/wCRKAO9orgv+ES8Tf8ARUfGP/gBpf8A8iUf8Il4m/6Kj4x/8ANL/wDkSgDvaK4L/hEvE3/RUfGP/gBpf/yJV/S/DuuWOuQXV5498S61bJu32d1aWCRS5UgZMVujjBIPDDkDORkEA66vgg9TX3vXwQepoA+uvhh/yQ7RP+23/o+Su9rgvhh/yQ7RP+23/o+Su9oAKKKKAODs/if4A1D40Xvw8s/FOl3HjO0Di40xGO9XSOKV4w2NhlSOeGRowxdUljZlCsCa2vfFv4aeGPFeuaFr/jXQNL1rRtMg1PU7Ga5HnW1vcTfZ4HZBzmWbEaKMs7lVUEsAfC5fhT8XbT9oKTWNNtPh1eeGNA8T6v4t8LT3PiC8hvdRv76wltRY3sQtJFgt0a6uW8+OSVtqQgQjDVw3in9ln4kN8eNd8deG/HXhjXmuriHWPsGv6ebSXUNRt9fsNUt4bi6t0ZhbpBYpZpJ5cjRokJ8t/LIaqaTlR59FJe89+V2va3rp59N7py057dGkvNXSv5aa+XXZn0rb/Hv4O3V/4ftYPiBoMlzrMqxWUW9gyyNdPZJHMCv+ju11HJbKs2wtOjRAF1Kj1DUdS07SNHm1HVr+y0zT4QDNdXc6xRR5IA3MxAGSQOT1Ir4R0/8AZu+LkPi7W7q6m+Gy2fjzVdO1Pxm0OrXjS6A1l4ivdaWGwBtgL4Ol55HmSG1KOhm2Pv8AJX75ZVdCrqrqeoIyDS+yn1/rT5PS/wBreyHNJTai7rp5rv8APtuttT5i8IftD/ADwx4Ol0TxL8c/g94e1mDVb9p7DU/GdhbXEQe8nkQtG8oYBkZWGRyrAjgiuo/4am/Zj/6ON+BH/hf6b/8AH6+IL+0tX8aeKGe2t2b/AISLUuTGCf8Aj9mqD7FZ/wDPpbf9+h/hX45mfiysJjKuH+q35JSjfntezav8J+vZZ4UPF4OliPrVueMZW5L2uk7fEfS3iD4g/sPeKPjbpfxD1r44/BK58U2KWypLF8VoILa5+yySTWrXNrHeLBdNBJLJJC08bmF3LIVbmqEHjL9h+Hxp4e19/wBob4cX+oaFZJbaSuo/HSS8t7UpbNarcLBNqDRfa/Jd0+1lTcEOxMhLEn54+xWf/Ppbf9+h/hR9is/+fS2/79D/AAri/wCIyK1vqn/k/wD9qd3/ABB13v8AW9dvg6dviPcn1f8AYOl+Hd14Wn/aB+Ht1pN7qBvdXa4+Pc8lzrTmEQGPULltSM1/AYVWLyLl5ItiqmzaAK9wi/ag/ZegtYoIP2iPgJDBGgSONPHumKqKBgAATcADtXw79is/+fS2/wC/Q/wo+xWf/Ppbf9+h/hR/xGVf9An/AJP/APaifg43/wAxf/kn/wBsfc3/AA1N+zH/ANHG/Aj/AML/AE3/AOP12em/F74TazodrqmkfFD4d6rplym+3u7PxJaTQzL/AHldZCGHuDX5zfYrP/n0tv8Av0P8K+tf2NLe3b/gnZ4MZoIWJ1PW8koP+gzfV9lwdxx/b1WpD2PJyJP4r3v8kfHcYcE/2FSpz9tz87a+G1rfNnuX/CzPhx/0UDwT/wCD23/+Lo/4WZ8OP+igeCf/AAe2/wD8XXX/AGW2/wCfeD/v2KPstt/z7wf9+xX3p8Gch/wsz4cf9FA8E/8Ag9t//i6P+FmfDj/ooHgn/wAHtv8A/F11/wBltv8An3g/79ij7Lbf8+8H/fsUAch/wsz4cf8ARQPBP/g9t/8A4uj/AIWZ8OP+igeCf/B7b/8Axddf9ltv+feD/v2KPstt/wA+8H/fsUAch/wsz4cf9FA8E/8Ag9t//i6P+FmfDj/ooHgn/wAHtv8A/F11/wBltv8An3g/79ij7Lbf8+8H/fsUAch/wsz4cf8ARQPBP/g9t/8A4uj/AIWZ8OP+igeCf/B7b/8Axddf9ltv+feD/v2KPstt/wA+8H/fsUAch/wsz4cf9FA8E/8Ag9t//i6P+FmfDj/ooHgn/wAHtv8A/F11/wBltv8An3g/79ij7Lbf8+8H/fsUAch/wsz4cf8ARQPBP/g9t/8A4uj/AIWZ8OP+igeCf/B7b/8Axddf9ltv+feD/v2KPstt/wA+8H/fsUAch/wsz4cf9FA8E/8Ag9t//i6P+FmfDj/ooHgn/wAHtv8A/F11/wBltv8An3g/79ij7Lbf8+8H/fsUAch/wsz4cf8ARQPBP/g9t/8A4uj/AIWZ8OP+igeCf/B7b/8Axddf9ltv+feD/v2KPstt/wA+8H/fsUAch/wsz4cf9FA8E/8Ag9t//i6P+FmfDj/ooHgn/wAHtv8A/F11/wBltv8An3g/79ij7Lbf8+8H/fsUAch/wsz4cf8ARQPBP/g9t/8A4uj/AIWZ8OP+igeCf/B7b/8Axddf9ltv+feD/v2KPstt/wA+8H/fsUAch/wsz4cf9FA8E/8Ag9t//i6P+FmfDj/ooHgn/wAHtv8A/F11/wBltv8An3g/79ij7Lbf8+8H/fsUAch/wsz4cf8ARQPBP/g9t/8A4uj/AIWZ8OP+igeCf/B7b/8Axddf9ltv+feD/v2KPstt/wA+8H/fsUAch/wsz4cf9FA8E/8Ag9t//i6u6d458FaxrMOnaR4w8LarqE2fKtbPVYZpZMAsdqqxJwAScDoCa6L7Lbf8+8H/AH7FOWCBHDJDEjDoVQA0AS18EHqa+96+CD1NAH118MP+SHaJ/wBtv/R8ld7XBfDD/kh2if8Abb/0fJXe0AFFFFAHzfp3xk8Uz/tN6VoN9oOhQ+Bda8Xal4V0ieKeb+0lu7Cyku3uJlZRH5MhtruMIvICQvucSssfKeLPj5490D4++PfAOmeE7PXdT0zSItU0yODRdUE3kHULS2lZIzEDqgjguvtEjWO8Qsghc7pEZvV7v4BfC+8+J/ibxhJpOvw67r0E8V+9r4q1O3gjaeGOCa4t4I7hYrW6eOKNGuYEjmIB+f5mzFdfs/8Aw2vfFPiTXLhfHza3rUckUuor8QdbW4sI5biO5lisJBeBtOjklhiZ0tDCriNFYFVCgS0p33UbS85ctr+nNr07baFaXl/iTXlG97fdp573TPFh+03r97LDqHhqx8KeJPDGjQaG/ii+a3vtPuJZNT1u60iS3gtp0EltNaNaStLHcAuXBiKxEFx9ianLqUOiTy6RZ2moaioHk29zdG3jfkZzIEcrxk/dOSMcZzXjNt+zZ8GbPW/C+oWvhS8hudBMbW2Nfv8AZevHdyX0cl+hn26jKl3LLcrJeCZ1nleUEO7MfdKuTjrbu/6/4FtO7J/4H5f5+f3bH5VyNO/iLxC91FHBctr2omaOOQuqN9smyAxA3AHIzgZ9BRU17/yOXij/ALGLUv8A0tmqGv434m/5HGL/AOvk/wD0pn9g8Nf8ifCf9e4f+koKKKK8Q9sKKKKACvoL9kTUPHUP7AvhOLSvC3hy/wBPXVNa8m4ufEUlvI4/ti+zmMWrhecj7x6Z9q+fa+sv2M/+UdXgv/sJ63/6eb6v2Xwd/wB6xP8AhX5s/HPGH/dsN/il+SPZf7V+JX/QleEv/Crl/wDkKj+1fiV/0JXhL/wq5f8A5CrvaK/ez8GOC/tX4lf9CV4S/wDCrl/+QqP7V+JX/QleEv8Awq5f/kKu9ooA4L+1fiV/0JXhL/wq5f8A5Co/tX4lf9CV4S/8KuX/AOQq72igDgv7V+JX/QleEv8Awq5f/kKj+1fiV/0JXhL/AMKuX/5CrvaKAOC/tX4lf9CV4S/8KuX/AOQqP7V+JX/QleEv/Crl/wDkKu9ooA4L+1fiV/0JXhL/AMKuX/5Co/tX4lf9CV4S/wDCrl/+Qq72igDgv7V+JX/QleEv/Crl/wDkKj+1fiV/0JXhL/wq5f8A5CrvaKAOC/tX4lf9CV4S/wDCrl/+QqP7V+JX/QleEv8Awq5f/kKu9ooA4L+1fiV/0JXhL/wq5f8A5Co/tX4lf9CV4S/8KuX/AOQq72igDgv7V+JX/QleEv8Awq5f/kKj+1fiV/0JXhL/AMKuX/5CrvaKAOC/tX4lf9CV4S/8KuX/AOQqP7V+JX/QleEv/Crl/wDkKu9ooA4L+1fiV/0JXhL/AMKuX/5Co/tX4lf9CV4S/wDCrl/+Qq72igDgv7V+JX/QleEv/Crl/wDkKj+1fiV/0JXhL/wq5f8A5CrvaKAOC/tX4lf9CV4S/wDCrl/+Qqv6XqHjifXIItY8L+HdO05t3nXFr4hkuJE+UkYjNqgbJwPvDAJPOMHrqKACvgg9TX3vXwQepoA+uvhh/wAkO0T/ALbf+j5K72uC+GH/ACQ7RP8Att/6PkrvaAPz9+PmrfGY/tupN8JPjT4S+EugeHdF06fxtdeLPEdvqGmPDcS3aQxjRDbmVJmZB/pK3dtvHy4coCPuXwxH4mi+HmjReM7nQ73xWloi6rcaNbyQWcs4HzvDHI7uiE8hWdiM43HrX4j/ABH8KaZe/wDBRbVPG+seOf2UrTxRdeKSqS6x8SPCj6pOlrqdxFAfIuvDMssVxEFFrhJvMzaojSs8e+v3Vp09aEZd7+vR/dr/AEyZ1L15R7Jfqvv0/TY+CobjWdB/bq1HX5fDPxZfXdI8TazqPi7U4fDmrXNhqPhs6ZtsbazdFe3unE/2LZa25Mwliun8tS8hfz/4jWfi6+/ar+JN54V8O/Ey+8A7LL/hLE0jwdrulzvFB4h0yS9iLTsRrjT2a6h5b6cB5dskkHly+fFX3zZ/E/wBqHxovfh5Z+KdLuPGdoHFxpiMd6ukcUrxhsbDKkc8MjRhi6pLGzKFYE5N78a/hbp2ueItMvvGWm22o6GFOo20iSCRQ1wtsDGu3M3790hPlbsSMqHDECiElB0ZWu4R0vqmkrXfdW1ffyWhpJX59/ekn6O90l210j2Wmp+fOj+HfHA8exKnhT4zwrf61plx8IGm0rVEg0KyTxZqFzei5Y/LpqnTXtN0N55TPaiO3VWKNAv6k6na3V7ok9rZ6ndaPcuBsvLaON5IsEE4EishyARyp6+vNefXHxo+GFnr3h3Sr7xfYafqWuLC2n2t3FLDKRPObe3MquoMAlnBhj83Z5kg2JubivRNQ1HT9J0ibUNVvrPTbCHHm3N3MsUSZIAyzEAZJA57kU9eRLotPusv/Av5nu3qwqS5qjbVm9fv2t5fyrotj8t5I5IfEXiGKW4ku5U17UVeeRVDSkXkwLEKAAT14AHoBRSzTw3XiXxFc200Vxby6/qLxSxOGR1N5MQwI4II5BFJX8ccTf8AI4xf/Xyf/pTP6/4a/wCRPhP+vcP/AElBRRRXiHthRRRQAV9BfsieHdfvf2BfCd1Z+PvEWkW0mqa0Us7eysXji/4nF8MAyW7Oc9eWPWvn2sP9m79pj4l+Fv2R9I8P6H8GfCviDSrHW9aig1C8+IEllLOP7XvSS0K6dKE5JAHmNkAHjOB+reF2aYTAVcRVxNRQi1FXffV2/Bn5V4oZZi8fSw9LDU3OScnZdtFf8Ufpn/wifij/AKKh4s/8F2m//ItfFv7THg34gTfEqyitPEXxn8Ra1P4Xki+Hl5ofh9p7PTtf+2QlXvJLO38u0GBbsLi4CKsSXS+ZteRG0/8Ahrf4w/8ARAfA/wD4dGb/AOVNH/DW/wAYf+iA+B//AA6M3/ypr9ihxvkUakZ/Wo6Pv5NfrdedvQ/IHwVnjhKP1aWvl5p/pZ+V15lP4lRan4k/a++DdlZar+0PZ3sWqG5vfGSfD69Frp8NreyWwsVaDTzGjXc2S7zbYDZq0ruVMBPivgfwX+1Bq3gX4heF5b7xlealqw2eO9VXw/L4d1FXkuNQa5tLPUL1HGojZ5McNzaNDFDFNmLG2OJPdv8Ahrf4w/8ARAfA/wD4dGb/AOVNH/DW/wAYf+iA+B//AA6M3/yprKfGWRONli4r4uu97b6dLLa17L+9zaPg3PL3+qy6dNVa+339b2+63snwD8LfEp/2HvhAfFvjTx94a8Tjwbpq6ppeoWVg9zaTi1jDpKZLYvvBByHJcHIb5ga9b/4RPxR/0VDxZ/4LtN/+Ra+QP+Gt/jD/ANEB8D/+HRm/+VNH/DW/xh/6ID4H/wDDozf/ACprqr8d5FVqyn9ZirtvfuYU+B88hBR+rS08j6//AOET8Uf9FQ8Wf+C7Tf8A5Fo/4RPxR/0VDxZ/4LtN/wDkWvjjwb+3rDrkHiOy134CfE2PXtC1qXS9RXwxqGnalYeYiRyDy57mezkYlJUJBgABJALYzXZ/8NqaN/0Qf4+/+A2if/LSul8SZSt8TBesor9TjXDmavbDTfpFv9CP9ovVL/wMPBS+Mf2i/Ffw08Dag+oC81/ztO07/TYrRpbO28/7KAu8iZwhYeY0KphwxQ+QfE34s3+m/ssfClfEv7TWofD345az9jsZLK51DSdMsNH1j7Da3l8+pB4VXyLSGcStbyOPMEsUYBeWMj2I/tp6KevwG+Ph/wC3bQ//AJaUv/Damjf9EH+Pv/gNon/y0p0uJsnje+Kg7tP446W+fW+vXRdipcN5s7f7LU0TXwS67dOn6vufLVx8ZPi2nxS+Lmmaz8UNcsrrT9Xv7fUL7S/EVpNL4U0K216ysvtd9pf9mrHp5l06eS9guvNlMqxyS5WMYj+yvgGnijxd8INZ1Kx+Nfi7xT4Th8S31p4V14pp15/amnRybY5hcG3JnQP5say5O9Y1bc2dx5n/AIbT0XJP/Chvj5k9T9m0P/5aUD9tPRQAB8Bvj4AOg+zaH/8ALSlHibKEl/tVPa3xx3unfffT8ZXvfSq3Duaz2wk17zfwS2s1bbbX8F2PpX/hE/FH/RUPFn/gu03/AORaP+ET8Uf9FQ8Wf+C7Tf8A5Fr5r/4bU0b/AKIP8ff/AAG0T/5aV6J8MP2n/h38Sr3xPY3VtrHw01jQ5YFudN8Z3FhazzJMheOWIw3MyMh2up+YMCvKgFSejC5zgMVPkoV4zl2Uk39yZyYrJ8fhoc9ehKEe7i0vvaPUP+ET8Uf9FQ8Wf+C7Tf8A5Fo/4RPxR/0VDxZ/4LtN/wDkWrX/AAsf4ef9D74M/wDB3b//ABdH/Cx/h5/0Pvgz/wAHdv8A/F16R5pV/wCET8Uf9FQ8Wf8Agu03/wCRaP8AhE/FH/RUPFn/AILtN/8AkWrX/Cx/h5/0Pvgz/wAHdv8A/F0f8LH+Hn/Q++DP/B3b/wDxdAFX/hE/FH/RUPFn/gu03/5Fo/4RPxR/0VDxZ/4LtN/+Ratf8LH+Hn/Q++DP/B3b/wDxdH/Cx/h5/wBD74M/8Hdv/wDF0AVf+ET8Uf8ARUPFn/gu03/5Fo/4RPxR/wBFQ8Wf+C7Tf/kWrX/Cx/h5/wBD74M/8Hdv/wDF0f8ACx/h5/0Pvgz/AMHdv/8AF0AVf+ET8Uf9FQ8Wf+C7Tf8A5Fo/4RPxR/0VDxZ/4LtN/wDkWrX/AAsf4ef9D74M/wDB3b//ABdH/Cx/h5/0Pvgz/wAHdv8A/F0AVf8AhE/FH/RUPFn/AILtN/8AkWj/AIRPxR/0VDxZ/wCC7Tf/AJFq1/wsf4ef9D74M/8AB3b/APxdH/Cx/h5/0Pvgz/wd2/8A8XQBV/4RPxR/0VDxZ/4LtN/+Rav6X4e16x1yC6vfHniHWrZN2+zubKxSOXKkDJigVxgkHhhyBnIyKi/4WP8ADz/offBn/g7t/wD4urmn+NvBur6xDp+k+LfDGp6hLnyra01SGWV8AscKrEnABJwOgNAHT18EHqa+96+CD1NAH118MP8Akh2if9tv/R8ld7XBfDD/AJIdon/bb/0fJXe0Afjd+0nrvjKx/wCCgccXi7xX8KPhlqdwNMXwNo8Xxu1GwnhRNUuHl1GbTYNPEN296jLEYJy6q0TAO4LV+yNfkZ+0r8bfgHq37b2oaHE3gfxVc6O2gDxRfWPxtbRb+6kS/wBRtBptrYwI63ksAuLk3NvJJFuSaJXxhWX9c6qFvYRt3f6dP167kSb+sSu+kf1/r/g3PkaX4U/F20/aCk1jTbT4dXnhjQPE+r+LfC09z4gvIb3Ub++sJbUWN7ELSRYLdGurlvPjklbakIEIw1Zuv/Cz4x+K/jN8UvEvjTwR8J/GVndWqab4ChT4i6npL2GnxXlrcqjtDpjSW1zNLD9pluIpXw9rZxKmEaWu7074yeKZ/wBpvStBvtB0KHwLrXi7UvCukTxTzf2kt3YWUl29xMrKI/JkNtdxhF5ASF9ziVlj5vxz8dPiD4O+OniLwZaeG/B3iVtmlrp9xZ3twq6NNqes22mWaajlDuMiTTXQWPaQtpIh+/HKxSTkqEILeNo+acdNej5dFtf4Xdtp63SlUe3vXlq9+bXrtzavonqrJI890z9nX42Qmzsda8ReEvENlr8WjReJtR1PxFqF5qOhwaVr97q1ta2ks0DPqeILtLMXFy9vJmATuJGcxj70dEkjKSIroeqsMg18PWX7TvxCn8Q+IbS48H+EVg8FaxYab4vlS8uM35vPEN5oyyWIK/u9iWn2orIXyZRDuG0zH7U1O8l0/RJ7yDTr/VpYwNtpZeX50mSB8vmMq8Zzyw4B+lEpc/vd9fk1dfK2wSjKMnF9NH6rR7dV17H5f3YC+L/E6qAFHiLUgAB0/wBNmqKiSVp/EXiGd4JrV5Ne1F2hlxvjJvJjtbaSMjocEj3NFfxxxN/yOMX/ANfJ/wDpTP6/4a/5E+E/69w/9JQUUUV4h7YUUUUAFeKfs9/8mu2P/Yf1z/08Xte114p+z3/ya7Y/9h/XP/Txe16NL/cKn+KH5TPOq/7/AEv8E/zge10UUV5x6IUUUUAFFFFAHinwd/5Gf42/9lHuv/SKxr2uvFPg7/yM/wAbf+yj3X/pFY17XXpZt/vL9I/+ko87Kf8Adl6y/wDSmFFFFeaeiFFFFABXrv7IkEE37RP7QJlhilITQcb0Bx+4u/WvIq9B/Zb1280j9o749pa+F/EPiESRaEWfTfs+IsQ3fDebNGcn2z0r9L8Kf+R5/wBuS/Q/NvFX/kSf9vx/U/Qr7FZ/8+lt/wB+h/hR9is/+fS2/wC/Q/wri/8AhNdW/wCia+Pv/JD/AOSqP+E11b/omvj7/wAkP/kqv6VP5sO0+xWf/Ppbf9+h/hR9is/+fS2/79D/AAri/wDhNdW/6Jr4+/8AJD/5Ko/4TXVv+ia+Pv8AyQ/+SqAO0+xWf/Ppbf8Afof4UfYrP/n0tv8Av0P8K4v/AITXVv8Aomvj7/yQ/wDkqj/hNdW/6Jr4+/8AJD/5KoA7T7FZ/wDPpbf9+h/hR9is/wDn0tv+/Q/wri/+E11b/omvj7/yQ/8Akqj/AITXVv8Aomvj7/yQ/wDkqgDtPsVn/wA+lt/36H+FH2Kz/wCfS2/79D/CuL/4TXVv+ia+Pv8AyQ/+SqP+E11b/omvj7/yQ/8AkqgDtPsVn/z6W3/fof4UfYrP/n0tv+/Q/wAK4v8A4TXVv+ia+Pv/ACQ/+SqP+E11b/omvj7/AMkP/kqgDtPsVn/z6W3/AH6H+FOS1to5A8dvBG46MsYBFcT/AMJrq3/RNfH3/kh/8lVf0vxPqGo65BZz+CPF2jxSbt13e/ZPJjwpPzeXcO3OMDCnkjoOaAOur4IPU19718EHqaAPrr4Yf8kO0T/tt/6Pkrva4L4Yf8kO0T/tt/6PkrvaAPyV/ah1eOL/AIKoWXhSD4heDvA10ugeHr/R5tb+KkvhSHSZn1S+NzcLp6xmHWmnSKONoZGyuwAgCTNfrVX56WviH9p3R/8AgoF4j1LxP8IfiN8RfhddajqNlb2ttaeGVsbC3Se3Gl3VnK91HeNmIXLXAnJ+Z18tOMD9C6KX8CD73fa1+jXR931+QVb/AFiafSy8tNLp9nb9eqPG7v4BfC+8+J/ibxhJpOvw67r0E8V+9r4q1O3gjaeGOCa4t4I7hYrW6eOKNGuYEjmIB+f5mzlN+zR8IH1Px5dvpHix28Zag2o+IIW8cayYJ70yW8i3kUJu/Lt7mNrW2MU8CxyQiJBGyAYrwSH4xJo37dOoQaz8WBDeaZ4n1lPHHhO/1SFLTw74at9M8601FoGVWhjMwtG+1EkO17Khd1VBFj+L/iytp+1B+1F4EX9pHwppDaRofhfV7KLxH4sstKg8P79Ruk1CzE8MW+2R4lso2lkSWWN7yIlvnjWrjGToxmtuS6/wu2i/Vbael9IqTqSj2lZ+u1/8utmj6Xtf2a/g1Za54Z1K38L6gt5obI8Dt4i1BxfyR3cl9HLqCmcrqMqXcstykl4JmSaR5FIdix91r8urT466/r+v+EpbXxp4g8IatPB4fj8A+Gh4h/tGLxdKfE19ZavcW88kKPq1o9lBBKsuweVazR3G2EuHH6b6na3V7ok9tZalc6PcuBsvLeON3jwQTgSKynIBHKnr605xlG6fd/f18r9+q6mb1d/Jfl56+X5aH5f3v/I5eKP+xi1L/wBLZqhokjkh8ReIYpriS6lTXtRV53VQ0hF5MCxCgAE9eAB6Civ424m/5HGL/wCvk/8A0pn9g8Nf8ifCf9e4f+koKKKK8Q9sKKKKACvFP2e/+TXbH/sP65/6eL2va68U/Z7/AOTXbH/sP65/6eL2vRpf7hU/xQ/KZ51X/f6X+Cf5wPa6KKK849EKKKKACiiigDxT4O/8jP8AG3/so91/6RWNe114p8Hf+Rn+Nv8A2Ue6/wDSKxr2uvSzb/eX6R/9JR52U/7svWX/AKUwooorzT0QooooAK9j/ZA/5OI/aC/3NB/9EXdeOV6D+y3pGr6n+0d8e203xVqvh1Y4tCDpaWttKJSYbvBPnRORj2x1r9L8Kf8Akef9uS/Q/NvFX/kSf9vx/U/ROiuC/wCEV8U/9FO8T/8Agt07/wCRqP8AhFfFP/RTvE//AILdO/8Akav6VP5sO9orgv8AhFfFP/RTvE//AILdO/8Akaj/AIRXxT/0U7xP/wCC3Tv/AJGoA72iuC/4RXxT/wBFO8T/APgt07/5Go/4RXxT/wBFO8T/APgt07/5GoA72iuC/wCEV8U/9FO8T/8Agt07/wCRqP8AhFfFP/RTvE//AILdO/8AkagDvaK4L/hFfFP/AEU7xP8A+C3Tv/kaj/hFfFP/AEU7xP8A+C3Tv/kagDvaK4L/AIRXxT/0U7xP/wCC3Tv/AJGo/wCEV8U/9FO8T/8Agt07/wCRqAO9orgv+EV8U/8ARTvE/wD4LdO/+Rqv6X4f1+y1yC6vfHWu6zapu32dxZWSRyZUgZaOBXGCQeGHI54yKAOur4IPU19718EHqaAPrr4Yf8kO0T/tt/6Pkrva4L4Yf8kO0T/tt/6PkrvaACiiigDg7P4neAL/AONN98PbLxTpdx4ztAwuNNRjvVkjileLdjaZUjnhkaMMXVJUYqAwJoXPxj+FVtd+Obabx94XafwdJbQ+KIo71ZG0uW5YrbwyhckTSMNqxffZioCksoPiMvwp+Ltp+0FJrGm2nw6vPDGgeJ9X8W+Fp7nxBeQ3uo399YS2osb2IWkiwW6NdXLefHJK21IQIRhqxvG/wb+MniP9pj4qeLNN0z4XW+ialbeE5/Df2nxNe+fcXXh/V5dTWO7iWw2wR3JuZIzIkkxhMaP5c28qmlOEXCDk7NpN9bO65vuV7L7VtB29+S6J6ea6el9/LZ6nukHx6+Dt1f8Ah62g8f6DJc6zKsVjHvYMsjXT2SRzAr/o7tdRyWyrNsLTo0QBdSo9er4E0/8AZu+LkPi7W7q6m+Gy2fjzVdO1Pxm0OrXjS6A1l4ivdaWGwBtgL4Ol55HmSG1KOhm2Pv8AJX7t1PTNO1nRJ9N1ayttR0+YAS29xGHR8EMMg9cEA/hUfZT6/wBafJ6X+1vZDmoqbUXddPNd/n23W2p+X97/AMjl4o/7GLUv/S2aoaSS3gtPEXiG1tYo4LaHXtRjiiQYVFF5MAAOwAGKWv454l/5HGL/AOvk/wD0pn9f8Nf8ifCf9e4f+koKKKK8Q9sKKKKACvFP2e/+TXbH/sP65/6eL2va68U/Z7/5Ndsf+w/rn/p4va9Gl/uFT/FD8pnnVf8Af6X+Cf5wPa6KKK849EKKKKACiiigDxT4O/8AIz/G3/so91/6RWNe114p8Hf+Rn+Nv/ZR7r/0isa9rr0s2/3l+kf/AElHnZT/ALsvWX/pTCiiivNPRCiiigAr2P8AZA/5OI/aC/3NB/8ARF3Xjleg/st+EvDPiT9o749y6/oWl6xJBFoSwtd26yFAYbvIGemcCv0vwp/5Hn/bkv0PzbxV/wCRJ/2/H9T9E65Dxt400vwJ4Ph1fU7XV9Se5v4LCw0/S7Q3F1eXM8gjiijQYHJOSzFURVZ3ZVVmFH/hVvw5/wChJ8Nf+ACf4V558Sv2f/DPi7wRp8XhGw8G+EPFWl6tb6lpepX3htdRtQ8TEPHPbrLC0kckbSRkLLGw3Bg2Rg/0o73Xqr+l1f8AC/8AwT+bVbX0f320/Hc3p/jh4NHwh8IeL9PtvEutL4o1J9L0TR7HS3Oo3F7Glw89q0TlRFJCtpdeZ5jKFMDjOcA5+hftD/DfxLp0+raHc6xfeFrLQItb1rxE1g0Fho1vLZ/bUW6eXayS+RtkaIKzRh4/MCb0z4yP2QpLDwD4Us9B8S/D628ReHtTOs2d/qHgA3Vtc6hcjURqRuIFvUdrWX+0MwwJLG1uYEzLOuVrzU/8E3fh01/NZNrWj/2BdaP9nvr1PCsSeIpLo6I2jsU1ES7Us2VhdG0+zn/SRuEm0+XV1LJy5de39dvVp38tTWiqb5ed2019b+nb16vXY++PBviuPxn4Kh16DQvEnh+1nINvDrlkLW4ljKq6yeVuLICGHyuFdSCGVSCK6qvlz4K/steC/hd4Q8Q22saP8PNa1PWNUW9mj8PeEF0XSbTZbQWypbWRnn8rcIBJIfNbfLI7fKCFHs3/AAq34c/9CT4a/wDABP8ACnUUVL3djnje2u53tFcF/wAKt+HP/Qk+Gv8AwAT/AAo/4Vb8Of8AoSfDX/gAn+FQUd7RXBf8Kt+HP/Qk+Gv/AAAT/Cj/AIVb8Of+hJ8Nf+ACf4UAd7RXBf8ACrfhz/0JPhr/AMAE/wAKP+FW/Dn/AKEnw1/4AJ/hQB3tFcF/wq34c/8AQk+Gv/ABP8Kv6X4B8FaLrkGp6R4W0PTtQh3eVcW9oqOm5SpwQOMgkfQ0AddXwQepr73r4IPU0AfXXww/5Idon/bb/wBHyV3tcF8MP+SHaJ/22/8AR8ld7QAUUUUAeFad8b4L79oq28GSeFNRtdAv9fvvD2keIzewvHe6lZWpuriLyFJdIwsdyiyNyZLaQFVBjaTzvXf2sdO0GTUrq78DanD4fa71O00TV7nVreKC8k0zV7fSbx58k/ZYVluDKsjbgYYZXYRkKrd1d/s+6bP8YNa8X2/xE+JGmtc3F5f6RpVvNYPZ+H9Su7YWs+o2fmWjyicx+ZhZpJYVM8xEXzcU4v2c7DT/ABtrev6D8Ufij4fv55NQl0EW0mmTx+GpNRvY73UGs1uLKQObiaMZF19oEas6wiJWxQ1+7h/Ny6+ttfx21t3XQ0jy87vtzaf4dd/wvp3t0vjzftOaat5pD2Hhq38S6GbDRb7Xdc8P+IrW+sLKDWNRm0+ze3lXAuwJIJJJCu0JEMr5jEJX0rqd7Lp+iT3kOnX+rSRgbbSzCGaTJA+XeyrxnPLDgH6V81af+yf4J0zU9JmtfGHxFFstxDdeJbJry0MHiu5h1W41iOe+H2bKML67uJitobZGEhjZWiVY1+o6ufLrbu/69O2l+5n/AMD8vzvv07H5VSStP4i8QzvBNatJr2ouYZsb4ybyY7WwSMjocEj3NLU17/yOXij/ALGLUv8A0tmqGv434l/5HGL/AOvk/wD0pn9g8Nf8ifCf9e4f+koKKKK8Q9sKKKKACvFP2e/+TXbH/sP65/6eL2va68U/Z7/5Ndsf+w/rn/p4va9Gl/uFT/FD8pnnVf8Af6X+Cf5wPa6KKK849EKKKKACiiigDxT4O/8AIz/G3/so91/6RWNe114p8Hf+Rn+Nv/ZR7r/0isa9rr0s2/3l+kf/AElHnZT/ALsvWX/pTCiiivNPRCiiigArwHw9ZarffttfGcWfjb4jeGYY9O0P9x4c8V3ulxyExXWWdbeRA592zjt1Ne/V4p4M/wCT2Pjb/wBg/Qf/AEVd17WT4uvho16tGbjJQ0adn8cOqPGzfCUcTKhTrQUouezV18E+h6N/Yev/APRXPj3/AOHN1f8A+SKP7D1//ornx7/8Obq//wAkV0tFaf605z/0FVP/AAOX+Zn/AKr5P/0Cw/8AAY/5HNf2Hr//AEVz49/+HN1f/wCSKP7D1/8A6K58e/8Aw5ur/wDyRXS0Uf605z/0FVP/AAOX+Yf6r5P/ANAsP/AY/wCRzX9h6/8A9Fc+Pf8A4c3V/wD5Io/sPX/+iufHv/w5ur//ACRXS0Uf605z/wBBVT/wOX+Yf6r5P/0Cw/8AAY/5HTfs7+J/F3hn9tfX/Dkmt/Fv4jaJd+CBetYan4lm1b7POl6sayp9tuP3eVdlOwjdxuB2rj7x/wCE11P/AKJx4+/74sv/AJJr4j/Zv/5SRa3/ANk1b/04x1+jNf0twPia2IyPD1KsnKTTu27t+8+p/NfG+GpYfO8RTpRUYpqySsl7q6HjPjT4wTeCfhjq3ia/+GfxCuYrNFEVvH9gV7maR1ihhUtdABnkdEBJxlhmvOv+GnLm2+FfiLVdT+D/AI7tvFGi+KbXwte6JBeWMsf9qXctpHaxLcGZcxuL61cybAVVzlcqRX0D448Iaf49+EuveD9TvNU0601S1MJvdNnEV1aPkMk0LkMFkRwrqSrDcoyCMg+P/wDDOmmyfDvU9DvPiZ8Tr2+1LUP7X1LXGk02K9u9WS5s7i11NxFZLCJ7b7BbxRRrGLcxArLDLnNfW07c75/ht03vdX8vhuv8Tj0vb5V7K3f8LP8AW3yv5X5bTP2prm+1zwDplx8E/iVaXniHxTqPhm7lW506S30/UbGO8klhDfaQ8u4WUzIwjUFBlijEIe18D/HS+8aeJPH+lj4QfEvRLvwp4gGkXUN22nPJIxtLa7STCXZVQ0d1GwG4nBG7a2VWg37OGnKvwxaz+J/xO0+58G+KLzxO1xF/ZTvr2p3f2gXNxe+ZYuPnS7u49luIERZzsVSkRj7bwB8Kh4B+KXxM8VL488b+KpfG2spqt9Ya0mni2sp0gitl+z/ZrSGQKIILeLEjycQqxJdnd3G1ve3t8r6fh8Vuu1wm43fLe3T73v8AK1/O9tDa/wCE11P/AKJx4+/74sv/AJJq/pfii+1HXILObwV4u0iOTdm7vVtRDHhSfm2Ts3OMDCnkjoOa66ipEFfBB6mvvevgg9TQB9dfDD/kh2if9tv/AEfJXe1wXww/5Idon/bb/wBHyV3tABRRRQB8Fw/GJNG/bp1CDWfiwIbzTPE+sp448J3+qQpaeHfDVvpnnWmotAyq0MZmFo32okh2vZULuqoIvIPE/wAZvF1r4+1aO3+MOuWt9D4n1a1+J9ilzHs8GaLH4t060s7pozF/xLwdKkuGS4YL5sTy3JZ/KEifqngZzjn1pMDJ4HPWqjLljTVr8qSf963fyf2ur6NMtStKT7u/pvovS+nTRXTsflTo/wAY/Fs/j2Oyj+MWv3Z/trTE+EVqb2Nj41sZPFuoWt5Iv7v/AImca6bHaqZQX8uArdblMgnP6k6mupvok66PNY2+pEDyZLyFpYV5Gdyqyk8Z6MOcfSruBxwOOntS0r+6l/T835vd9L7JCnLmm5Wtf8PJeS6de7b1PiDTv2dfG+sxahq1x4q0TR5rzVb2d7S40GYspa6lOR+/HytncvH3WHJ6nQ/4Zi8Yf9D74a/8EE3/AMk19n0V8xX4OyWtVlUqYeLlJtt66t6tn0dDjDOqNONOniJKMUklpolokfGH/DMXjD/offDX/ggm/wDkmj/hmLxh/wBD74a/8EE3/wAk19n0Vl/qPkP/AECx/H/M1/13z3/oJl+H+R8Yf8MxeMP+h98Nf+CCb/5Jo/4Zi8Yf9D74a/8ABBN/8k19n0Uf6j5D/wBAsfx/zD/XfPf+gmX4f5Hxh/wzF4w/6H3w1/4IJv8A5Jrgvhp+yL4o8N/CO30m18Z6fZwpqWoTCLUdCkabM19PMxJEyjaTIWXj7pXk9T+hlFaLgvI1Bw+rRs7Pr0vb82Q+M87c1P6zK6uunW1/yR8Yf8MxeMP+h98Nf+CCb/5Jo/4Zi8Yf9D74a/8ABBN/8k19n0Vn/qPkP/QLH8f8y/8AXfPf+gmX4f5Hxh/wzF4w/wCh98Nf+CCb/wCSaP8AhmLxh/0Pvhr/AMEE3/yTX2fRR/qPkP8A0Cx/H/MP9d89/wCgmX4f5Hxh/wAMxeMP+h98Nf8Aggm/+SaP+GYvGH/Q++Gv/BBN/wDJNfZ9FH+o+Q/9Asfx/wAw/wBd89/6CZfh/kfnn4H/AGRfFGiat4+lt/Gen2zap4pmv5je6FIVldre3QvFiZcRYjAAO45DfN2He/8ADMXjD/offDX/AIIJv/kmvs+itKnBeSVJc0sNFv5/5kU+M87px5Y4mSXy/wAj4w/4Zi8Yf9D74a/8EE3/AMk0f8MxeMP+h98Nf+CCb/5Jr7PorP8A1HyH/oFj+P8AmX/rvnv/AEEy/D/I+MP+GYvGH/Q++Gv/AAQTf/JNH/DMXjD/AKH3w1/4IJv/AJJr7Poo/wBR8h/6BY/j/mH+u+e/9BMvw/yPjD/hmLxh/wBD74a/8EE3/wAk1wWhfsi+KLH4+ePtej8Z6fFc6pback08+hSG2lEKTBREPOBBG87ss3Vfu9/0MorSHBeSRUksNHXR790+/dIifGedycW8TLTVbdmvybPjD/hmLxh/0Pvhr/wQTf8AyTR/wzF4w/6H3w1/4IJv/kmvs+is/wDUfIf+gWP4/wCZf+u+e/8AQTL8P8j4w/4Zi8Yf9D74a/8ABBN/8k0f8MxeMP8AoffDX/ggm/8Akmvs+ij/AFHyH/oFj+P+Yf6757/0Ey/D/I+MP+GYvGH/AEPvhr/wQTf/ACTR/wAMxeMP+h98Nf8Aggm/+Sa+z6KP9R8h/wCgWP4/5h/rvnv/AEEy/D/I/NDxL+wsfF/7Sljr3ifV/D+uva+GZLOCS78OyPZRhrlHI2mbPncZB3fdz8vOa0f+HfHhb/nl8Mf/AAkn/wDkiv0eorvjw3l0YqMadktEk2v1OCXEeYyk5yqXb1baT/Q/OH/h3x4W/wCeXwx/8JJ//kij/h3x4W/55fDH/wAJJ/8A5Ir9HqKf+ruX/wAn/k0v8xf6w4/+f/yWP+R+cP8Aw748Lf8APL4Y/wDhJP8A/JFH/Dvjwt/zy+GP/hJP/wDJFfo9RR/q7l/8n/k0v8w/1hx/8/8A5LH/ACPzh/4d8eFv+eXwx/8ACSf/AOSK6bwF+x9pXwk/aO+H3xD0ix8I3V5pWrOpXR/Dz20qJcWlxau7SGV8IqzkngZwBkDNffFFaUciwVKanGGq85f5mdXPMbVg4Sno/KP+QV8EHqa+96+CD1NeueSfXXww/wCSHaJ/22/9HyV3tcF8MP8Akh2if9tv/R8ld7QAUUUUAFFFFABRRRQAUUUUAFfMP7SE0en6z8FdcSw+J+pXum+PbOdovCel6xqECWu4C5ku7ewR43QJjabhSAS2znNfT1FC+OEv5ZRf3NO3ztYU1zQlH+ZNfemv1DtRRRQMKKKKACiiigD5U/a9ljm/Zki0CHwp448Qa1rt42naZqfh3RNV1EeGpJIJQ2rTR6Yjzn7Om5ogq7mnMKho8mWP6c0oq3hfTWSW+nQ2sZWW9iaOdxtHzSI4Vlc9SGAIOQQDxV+iiOia7v8AT+v6sEtWvJfr/X9N3KKKKACiiigAryD47NZD9mXX4762ubqOUxJGsfg/U/EsayeYpQzadprLc3EWQNyowAHLHaDXr9FTOPMrFRlZ3PG/2eLXxLYfsMfCbTvGMWtxeJ7PwvZ22onWHkN5LJHEqGWUSfvFdwocpJ+8Tdtf5lNeyUUVpOXNJvuQtgoooqRhRRRQBxPxHk8cR/AzxP8A8K1ttNuvHb2TR6KL+YRwRzMQolYkEN5YJfYcByoUld24eO/smaN4t8Ofsk3Hh7xjo3jDRr/TfGniGCyHifUnvr+5shq921tM8zktIGiZdrk4dQHUlGU19MUU4u1/MHqkvO/4NfqFFFFIAooooAKz9WAPhXUwzXKA2kmWtomklHynlFXlm9AOSelaFFTUgpRcX1KjLlkmfKH7JsOvad8KvEmhXulP/wAI5pt7bw6J4gufBWqeF7zWwLWJZpLmw1KSS481XTDXBKpMSSqLtJb6voorWpNzldmUIcqsFFFFQWFfBB6mvvevgg9TQB9dfDD/AJIdon/bb/0fJXe1wXww/wCSHaJ/22/9HyV3tABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5d8YPiha/CP4Of8JRL4d1zxfqV1qtlpGjaFpHlC51G+vLhLe3hVpWSOMF5AWd2CqoY84wfUa82+LHwt0D4wfB+Xwf4gvtd0dFv7XUtO1bRLoW9/pl7azJPbXUDsrKJI5EVhuVlOMFSCRSe67XV+9r6287Xt0uVG35/f0v5X3trY86vv2lvCXg6LRNM+Leg+MPhr401KKd4tF/sS71eB2jFyyRR39lFJavNNFaSyRQGRZ3G0eWHO2szwf+2H8DPF/hD4Zamut+IfD1z45sLW80rT9Y8NX0MtqlzN9nt/tcixNDbLLPmGGWSQRXDgiF5RzXPXn7GXg3Wv2i/AXxS8XfEr4r+NvF3hZY/Iudam0uX7WyS3UgLMlirwKRdujJaNAjrFDvVjGrVjWn7CXwxsPEHwz1mHxT4x1DWfA2jWujaRd6zp2i6i8thZ3RubK2dp9PZohAx2LNatBOyAbpWZVdaT197v07a9+r0+XbZqaW0O3Xu/Tol+P3rtV/bS/Zzk0++uYPGXiG6W2lgRYrfwPrUk14s8E9zFLaRrZl7uFoLaabzoBJGIk3lgrKx1rP8Aa4/Z71H4wWngbT/H7ahrly+mJFPbaDqEunFtTijm09TfrAbVWuEljMYMoLFgv3uK+XPgt+wDrPgb4fQ6R4j+K+qeHr7SZbebw7qngW1sYb+2uP7Pm0+/uJLi4sSZlu4JIx5MyTNAYVKTk8j2jxh+x34Rb9h34sfCL4c3VzpDeLbTTE02bVrx5ItEn02ysbKyngaNRLuhSwglG5mZpVPzKG4T92/Xa3S/8y628tPVFpQbs/P5O+nr5r7mfU3g/wAYeHPH3w00jxj4R1JdY8NapD52n3ywyRrcR7iodQ6q20kHBxgjBGQQa6Wud8I+F9H8EfCnw14M8PWy2Wg6DpVvpunQL0jggjWONfwVRXRVU1FSai7oxg24ptWYUUUVJQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV8EHqa+96+CD1NAH118MP+SHaJ/wBtv/R8ld7XxF4htLWy+IXiG1s7a3tLZNUudkUMYRFzM5OAOBySayMD0oA+9KK+C8D0owPSgD70or4LwPSjA9KAPvSivgvA9KMD0oA+9KK+C8D0owPSgD70or4LwPSjA9KAPvSivgvA9KMD0oA+9KK+C8D0owPSgD70or4LwPSjA9KAPvSivgvA9KMD0oA+9KK+C8D0owPSgD70or4LwPSjA9KAPvSivgvA9KMD0oA+9KK+C8D0owPSgD70or4LwPSjA9KAPvSivgvA9KMD0oA+9KK+C8D0owPSgD70or4LwPSjA9KAPvSivgvA9KMD0oA+9KK+C8D0owPSgD70or4LwPSjA9KAPvSivgvA9KMD0oA+9K+CD1NPwPSvrfwr4U8L/wDCsPDf/FN6B/yC7f8A5h8X/PJf9mgD/9k=</file>    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA:\*~=#me}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA:\*~=#var}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA:\*~=#sd}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA:\*~=#me}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;399&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;264&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;260&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;d&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;066&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;e&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;011&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;precision&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;me&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;d&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;e&lt;/mi&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;precision&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;var&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;me&lt;/mi&#62;&lt;msup&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/msup&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;me&lt;/mi&#62;&lt;msup&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/msup&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;me&lt;/mi&#62;&lt;msup&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/msup&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;d&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;me&lt;/mi&#62;&lt;msup&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/msup&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;e&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;me&lt;/mi&#62;&lt;msup&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/msup&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;precision&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sd&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;msqrt&#62;&lt;mi&#62;var&lt;/mi&#62;&lt;/msqrt&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;me&lt;/mi&#62;&lt;/math&#62;&lt;/input&#62;&lt;output&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mn&#62;2.03&lt;/mn&#62;&lt;/math&#62;&lt;/output&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;var&lt;/mi&#62;&lt;/math&#62;&lt;/input&#62;&lt;output&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mn&#62;1.02&lt;/mn&#62;&lt;/math&#62;&lt;/output&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sd&lt;/mi&#62;&lt;/math&#62;&lt;/input&#62;&lt;output&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mn&#62;1.01&lt;/mn&#62;&lt;/math&#62;&lt;/output&#62;&lt;/command&#62;&lt;/group&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;/&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 </quiz>
