Which of the following statements are not true?
A) The chi-squared test statistic used in testing for independence is identical to that used in testing for homogeneity.
B) In general, the number of degrees of freedom when testing for independence is larger than those used in testing for homogeneity.
C) The chi-squared test for independence can safely be applied as long as the estimated expected count $\hat { e } _ { y }$
For all cells in the contingency table is larger than or equal to5.
D) The rejection region in testing for homogeneity at significance level $\alpha$
Is that the test statistic value $\chi ^ { 2 } \geq \chi _ {α, (i - 1 ) } ^ { 2 } ( j - 1 )$
Where I and J are the number of rows and columns, respectively, in the two-way contingency table.
E) All of the above statements are true.

Question

Quizplus · Accepted Answer

EB is not true because the number of degrees of freedom for tests of independence and for homogeneity are calculated the same way: $(i-1)(j-1)$, where $i$ is the number of rows and $j$ is the number of columns in the contingency table. Therefore, the number of degrees of freedom is not generally larger for one test than for the other.E is not true because it contradicts the fact that statement B is incorrect. Since B is not true, it cannot be that all of the above statements are true.

Which of the Following Statements Are Not True? A) the Chi-Squared

Which of the Following Statements Are Not True?
A) the Chi-Squared