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

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
$\begin{array}{|l|r|r|r|}\hline &{\text { Value }} & \text { df } & {\begin{array}{c}\text { Asymp. Sig. } \\\text { (2-sided) }\end{array}} \\\hline \text { Pearson Chi-Square } & 13.266^{a} & 6 & 039 \\\text { Likelihood Ratio } & 13.442 & 6 & 037 \\\text { Linear-by-Linear } & 1.015 & 1 & .314 \\\text { Association } & & & \\\text { N of Valid Cases } & 342& & \\\hline\end{array}$
a. 1 cells $( 8.3 \% )$ have expected count less than 5 . The minimum expected count is $4.57$ .

A) Stop! There is an expected count problem.
B) The significance level is .039 so you reject the null hypothesis of independence.
C) The significance level is .039 so you do not reject the null hypothesis of independence.
D) The significance level is .314 so you do not reject the null hypothesis of independence.