The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September
$\begin{array}{ccccc}
\hline \text { Month } & {\text { Weekly Sales }} \
\hline \text { June } & 980 & 1096 & 1103 & 869 \
\text { July } & 1061 & 1042 & 929 & 1014 \
\text { August } & 1060 & 1176 & 1447 & 1130 \
\text { September } & 1018 & 872 & 986 & 1103 \
\hline
\end{array}$
Can you conclude that the weekly sales varies with the month? Use the $\alpha = 0.05$ level of significance.

Question

The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September
 $\begin{array}{ccccc}
\hline \text { Month } & {\text { Weekly Sales }} \
\hline \text { June } & 980 & 1096 & 1103 & 869 \
\text { July } & 1061 & 1042 & 929 & 1014 \
\text { August } & 1060 & 1176 & 1447 & 1130 \
\text { September } & 1018 & 872 & 986 & 1103 \
\hline
\end{array}$
Can you conclude that the weekly sales varies with the month? Use the $\alpha = 0.05$ level of significance.

Quizplus · Accepted Answer

To conclude that weekly sales vary with the month, a statistical test such as ANOVA would be needed to compare the means of the sales across different months. The table alone does not provide enough information to determine statistical significance.

The Following Table Shows the Weekly Total Sales (In Dollars)