The table below shows the gender and the percentage of each gender that spent different amounts at a local hardware store. The data was taken from a random sample of single shoppers collected over five consecutive Saturdays at the hardware store. Choose the reason(s) why you cannot do a Chi-square test with this data. $$\begin{array} { | l | c | c | c | }
\hline & \$ 0 - \$ 20 & \$ 20 - \$ 50 & \$ 50 \
\hline \text { Male shopper } & 27 \% & 42 \% & 31 \% \
\hline \text { Female shopper } & 46 \% & 35 \% & 19 \% \
\hline
\end{array}$$
A) The data are from the entire population, not a sample, so inference is unnecessary.
B) There is not enough information to convert the percentages to counts.
C) The samples were not collected randomly.
D) All of these.

Question

The table below shows the gender and the percentage of each gender that spent different amounts at a local hardware store. The data was taken from a random sample of single shoppers collected over five consecutive Saturdays at the hardware store. Choose the reason(s) why you cannot do a Chi-square test with this data. $$\begin{array} { | l | c | c | c | } 
\hline & \$ 0 - \$ 20 & > \$ 20 - \$ 50 & > \$ 50 \
\hline \text { Male shopper } & 27 \% & 42 \% & 31 \% \
\hline \text { Female shopper } & 46 \% & 35 \% & 19 \% \
\hline
\end{array}$$
A) The data are from the entire population, not a sample, so inference is unnecessary.
B) There is not enough information to convert the percentages to counts.
C) The samples were not collected randomly.
D) All of these.

Quizplus · Accepted Answer

The percentages provided cannot be converted into counts without knowing the total number of shoppers surveyed.

The Table Below Shows the Gender and the Percentage of Each