Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Add//Subtract Matrices Perform the indicated operation, if possible. -  Perform the indicated operation, if possible.

 - ]]> 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 1.0000000 0.3333333 0 true true abc ]]> 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 Incorrect ]]> 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 Correct ]]> 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 Incorrect ]]> 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 Incorrect Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Add//Subtract//Scalar Multiply Matrices Find the indicated matrix.Let A =  and B = . Find 2A + B. Find the indicated matrix.

Let A =  and B = . Find 2A + B.]]> 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 1.0000000 0.3333333 0 true true abc ]]> 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 Incorrect ]]> 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 Incorrect ]]> 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 Incorrect ]]> 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 Correct Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Determining Order of a Matrix Determine the order of the matrix. Determine the order of the matrix.

]]> 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 1.0000000 0.3333333 0 true true abc 3 × 2 Incorrect 4 × 2 Incorrect 2 × 3 Incorrect 2 × 4 Correct Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Find Determinant of Square Matrix Find the determinant of the given matrix. Find the determinant of the given matrix.


]]> 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 1.0000000 0.3333333 0 true true abc -538 Incorrect -34 Correct 34 Incorrect 970 Incorrect Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Find Inverse of Matrix Find the inverse of A if it has one, or state that the inverse does not ... Find the inverse of A if it has one, or state that the inverse does not exist.

A = 
]]> 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 1.0000000 0.3333333 0 true true abc ]]> 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 Correct Inverse does not exist Incorrect ]]> 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 Incorrect ]]> 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 Incorrect Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Find Unknowns in Matrix Equation Determine the value of each variable. =  Determine the value of each variable.


 = ]]> 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 1.0000000 0.3333333 0 true true abc m = 8; n = -2; x = 8 Incorrect m = 12; n = -6; x = 8 Correct m = -6; n = 12; x = 0 Incorrect m = -12; n = +6; x = -8 Incorrect Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Identify Specified Element of Matrix Identify the element specified for the matrix.a12 Identify the element specified for the matrix.




a₁₂]]> 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 1.0000000 0.3333333 0 true true abc 5 Incorrect 7 Correct 6 Incorrect 3 Incorrect Pre-Calc/Chapter 7: Systems and Matrices/7.2 Matrix Algebra/Multiply Matrices I Find the indicated matrix product or state that the product is undefined.A ... Find the indicated matrix product or state that the product is undefined.

A = , B = 

AB]]> 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 1.0000000 0.3333333 0 true true abc ]]> /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAAiAEADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD7o/Zv8Opd2viPxfear4g1HWrrxN4m0911DxBfXNnHBDrl3DCkVpJM1vFsjgiRTHGpCqQDhmzL8XPj9p3g7xjbeC7fxV4V8IazLbR3c2seL7hVtLdZGdYYo4fOha4mkaJ/3aypsVS5J+RH0f2af+Sdav8A9jn4s/8AUh1GqHxD+Amo+KfGXiDW9D8QaVo0PijRo9B1+HUtAXUJZrVDKF+zSedGIn2zygiVJ4yQhMfykMdV/X+f9dGtBqz3/rX+u3qjR+IfxW1Xwp4++HvhzTrOyvYNY1hdO1i9lLD7OGs7meNYkDffY2+TuJCrjglwR6nXzj8Qf2QX8ReNvCGu+G/GF74ft9Dv7fUZ7K9vdYvFupYoTAu1I9ThhhBiIUlIcnHJKM6N9HVpJxcI231uJ7r0X36/8AK8D0P41atP8XP7F1bxjoum6TLqF7a2um3XgjU7U3IgaUGKLV5LoWksoWJnZUjJwjjaNpI9B1D4C/DLV/FZ8UX3w68J3viUzpcnWbjQ7WS8Mq42yecUL7htXDZyMD0rHm+E/iTxRrFsvjTxbYeIPDmnXEl1p9jZ6KbK7aQxyRIbqf7Q8c21JWP7uGEFwrYwNpyu0rrfX0/r5fNFacr/AK7/ANPX5MzPgz8d7T41+Iri50bxT4VOkrbGaPwxBKLjXUiJXyru52zj7MrhuIWhYgMhMgZjGsUXh1PB/wC1P4fTTtV8QPaeIPDPiHUL+w1DxBfXtmZ4r7SPKeK3nmeKDYLmdVESoAshUDAAD/hV+z/qHgG+8KjVPEOmatpXg7T5tL8O22m6ENPmigkCK32qXzpBM+yKMfukgQtuZkY7Nmn4j/5On+Hn/YmeJf8A0u0KtJJKyi7r+v66+WmihX3f9f18g/Zp/wCSdav/ANjn4s/9SHUa9Vryr9mn/knWr/8AY5+LP/Uh1GtrUPgx4f1PxWfEU2oeLE1AzpceTb+MdXhs9y4wPsiXQg28DKeXtPOQcnMLdX2H0F0j4iah4t8WXFn4b0e2v/DmmXklhqmuXd+YNtwmQ8VrEsT+eY3GyQu0SqThWdldV7qvmHwJ+yvfeE/iHp1//YXhO0TS9fvNai8bWlzcPr99BO87mxljaECOLNyVP+kSIRGCIlZwY/p6n9ld/wCv62v67sfxPt/wX+lvL8gqlretWPhvRr/VtUuo7HTbC3kurq6mOEhiRSzux7AKCT9Ks3EK3MEkLlwkilCY3KMARjhlIIPuCCK8b8X/ALL+haz4B8WaDpet+KYbrXNKn00Ta14t1jVYIvMHDeTcXbrkED5lw2MgEZNT3GrXVzu/AfirXvF6S6le+HYtD0C4jSXTHuL1nv50OfmntvKCwZG1lAldsMN6xsCo5fxH/wAnT/Dz/sTPEv8A6XaFWP8AAj4L3vw+8T6xr9z4X8KeAzf2MFlNovg26luba8ljd3N7PI8FvumPmFP9WXwCWlfKhNjxH/ydP8PP+xM8S/8ApdoVW0la39f18vRbEK/X+tDtfDfw98K+DtV1rU9A8M6Poepa3N9p1S802wit5r+Xc7eZO6KDK26SQ7mJOXY9zXQUUVJQUUUUAFFFFABXP2Xw98K6d4yv/F9p4Z0e18WX8ItrzXobCJL65iAQCOScLvdQIoxtJI/dp/dGCigD/9k= Incorrect ]]> 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 Incorrect Undefined Correct ]]> 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 Incorrect Find the matrix product, if possible.  Find the matrix product, if possible.

 ]]> 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 1.0000000 0.3333333 0 true true abc [1 18]]]> Incorrect ]]> 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 Incorrect ]]> 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 Correct ]]> 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 Incorrect