The table below shows the gender and the percentage of each gender that spent different amounts at a local toy store. The data was taken from a random sample of single shoppers collected over five consecutive Saturdays at the toy store. Choose the reason(s) why you cannot do a chi-square test with this data. $$\begin{array} { | l | c | c | c | }
\hline & \$ 0 - \$ 20 & \$ 20 - \$ 50 & \$ 50 \
\hline \text { Male shopper } & 18 \% & 49 \% & 33 \% \
\hline \text { Female shopper } & 20 \% & 62 \% & 18 \% \
\hline
\end{array}$$
A) There is not enough information to convert the percentages to counts.
B) The samples were not collected randomly.
C) The data are from the entire population, not a sample, so inference is unnecessary.
D) All of these.

Question

The table below shows the gender and the percentage of each gender that spent different amounts at a local toy store. The data was taken from a random sample of single shoppers collected over five consecutive Saturdays at the toy store. Choose the reason(s) why you cannot do a chi-square test with this data. $$\begin{array} { | l | c | c | c | } 
\hline & \$ 0 - \$ 20 & > \$ 20 - \$ 50 & > \$ 50 \
\hline \text { Male shopper } & 18 \% & 49 \% & 33 \% \
\hline \text { Female shopper } & 20 \% & 62 \% & 18 \% \
\hline
\end{array}$$
A) There is not enough information to convert the percentages to counts.
B) The samples were not collected randomly.
C) The data are from the entire population, not a sample, so inference is unnecessary.
D) All of these.

Quizplus · Accepted Answer

The Answer of The table below shows the gender and the percentage of each gender that spent different amounts at a local toy store. The data was taken from a random sample of single shoppers collected over five consecutive Saturdays at the toy store. Choose the reason(s) why you cannot do a chi-square test with this data. $$\begin{array} { | l | c | c | c | } 
\hline & \$ 0 - \$ 20 & > \$ 20 - \$ 50 & > \$ 50 \
\hline \text { Male shopper } & 18 \% & 49 \% & 33 \% \
\hline \text { Female shopper } & 20 \% & 62 \% & 18 \% \
\hline
\end{array}$$
A) There is not enough information to convert the percentages to counts.
B) The samples were not collected randomly.
C) The data are from the entire population, not a sample, so inference is unnecessary.
D) All of these.

The Table Below Shows the Gender and the Percentage of Each