The number of drunk-driving arrests were counted each month by the Millville police department. $\begin{array}{cc}
\hline \text { Month } & \begin{array}{c}
\text { Number of } \
\text { Drunk-Driving } \
\text { Arrests }
\end{array} \
\hline \text { January } & 24 \
\text { February } & 21 \
\text { March } & 22 \
\text { April } & 10 \
\text { May } & 11 \
\text { June } & 12 \
\text { July } & 15 \
\text { August } & 10 \
\text { September } & 12 \
\text { October } & 10 \
\text { November } & 12 \
\text { December } & 23 \
\hline
\end{array}$
Test the hypothesis that drunk-driving arrests are equally likely to occur in any month. Us $\alpha = 0.01$ level of significance.
A) Do not reject $H _ { 0 }$. The arrests may be equally likely.
B) Reject $H _ { 0 }$. The arrests do not appear to be equally likely.

Question

Quizplus · Accepted Answer

The chi-square test for uniform distribution shows no significant difference at $\alpha = 0.01$, so we do not reject $H_0$.

The Number of Drunk-Driving Arrests Were Counted Each Month by the Millville