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22 December, 08:41

Solve the problem. For large numbers of degrees of freedom, the critical chi χ squared 2 values can be approximated using the formula chi χ squared 2 equals = one half (x plus StartRoot 2 x minus 1 EndRoot) squared 1 2 z + 2k-12 , where k is the number of degrees of freedom and z is the critical value. To find the lower critical value, the negative z-value is used, to find the upper critical value, the positive z-value is used. Use this approximation to estimate the critical value of chi χ squared 2 in a right-tailed hypothesis test with n equals = 143 and alpha α equals = 0.01.

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  1. 22 December, 09:32
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    0.01 = 0.0001
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