You are doing a chi-square test and the sample results are consistent with the research hypothesis. On the basis of the following output, what should you do?
Chi-Square Tests
$\begin{array}{|l|r|r|r|}
\hline & \text { Value } & \text { df } & \begin{array}{c}
\text { Asymp. Sig. } \
\text { (2-sided) }
\end{array} \
\hline \text { Pearson Chi-Square } & 13.951^{*} & 6 & .030 \
\text { Likelihood Ratio } & 14.910 & 6 & 021 \
\text { Linear-byLinear } & 7474 & 1 & 006 \
\text { Association } & & & \
\text { N of Valid Cases } & 144 & & \
\hline
\end{array}$
a. 5 cells $( 41.7 \% )$ have expected count less than 5 . The minimum expected count is 48 .
A) Stop! There is an expected count problem.
B) The significance level is .021 so you reject the null hypothesis of independence.
C) The significance level is .030 so you reject the null hypothesis of independence.
D) The significance level is .030 so you do not reject the null hypothesis of independence.

Question

Quizplus · Accepted Answer

The Answer is A

You Are Doing a Chi-Square Test and the Sample Results