ve the problem. 6) For large numbers of degrees of freedom, the critical x2 values can be approximated as follows: 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 x2 in a two-tailed hypothesis test with n = 144 and a = 0.10. A) x² = 116.985 and x2 = 172.721 (O x2 = 121.710 and x2 = 164.928 B) x2 . = 122.635 and x2 - 166.004 D) x2 = 116.082 and x2 = 171.624 %3D

MATLAB: An Introduction with Applications
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ve the problem.
6) For large numbers of degrees of freedom, the critical x2 values can be approximated as follows:
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 x2 in a two-tailed hypothesis test with
n = 144 and a = 0.10.
A) x² = 116.985 and x2 = 172.721
(O x2 = 121.710 and x2 = 164.928
B) x2 .
= 122.635 and x2 - 166.004
D) x2 = 116.082 and x2 = 171.624
%3D
Transcribed Image Text:ve the problem. 6) For large numbers of degrees of freedom, the critical x2 values can be approximated as follows: 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 x2 in a two-tailed hypothesis test with n = 144 and a = 0.10. A) x² = 116.985 and x2 = 172.721 (O x2 = 121.710 and x2 = 164.928 B) x2 . = 122.635 and x2 - 166.004 D) x2 = 116.082 and x2 = 171.624 %3D
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