Which of the following is NOT true for conducting a hypothesis test for independence between the row variable and column variable in a contingency table? O Small values of the chi squared test statistic reflect significant differences between observed and expected frequencies. O The null hypothesis is that the row and column variables are independent of each other. O Tests of independence with a contingency table are always right-tailed. O The number of degrees of freedom is (r-1)(c-1), where r is the number of rows and c is the number of columns.

MATLAB: An Introduction with Applications
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Which of the following is NOT true for conducting a hypothesis test for
independence between the row variable and column variable in a contingency table?
O Small values of the chi squared test statistic reflect significant differences
between observed and expected frequencies.
O The null hypothesis is that the row and column variables are independent of
each other.
O Tests of independence with a contingency table are always right-tailed.
O The number of degrees of freedom is (r-1)(c-1), where r is the number of rows
and c is the number of columns.
Transcribed Image Text:Which of the following is NOT true for conducting a hypothesis test for independence between the row variable and column variable in a contingency table? O Small values of the chi squared test statistic reflect significant differences between observed and expected frequencies. O The null hypothesis is that the row and column variables are independent of each other. O Tests of independence with a contingency table are always right-tailed. O The number of degrees of freedom is (r-1)(c-1), where r is the number of rows and c is the number of columns.
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