To analyze the survey of students, let's first summarize the data we have:
- Total students surveyed: 80
- Students who play in the band and play a sport: 24
- Students who are not in the band and do not play a sport: 22
- Total students in the band: 48
We can deduce the following:
- If there are 22 students who are not in the band and do not play a sport, that leaves us with \(80 - 22 = 58\) students who either play in the band or play a sport (or both).
- Out of the 58 students, we know 24 play in both the band and a sport, which means there are \(58 - 24 = 34\) students who either play in the band only or play sports only.
- Since there are 48 students in the band, and 24 of them play sports, this means \(48 - 24 = 24\) students are in the band but do not play a sport.
- This illustrates that the breakdown could be:
- Students in the Band only: 24
- Students in the Band and playing Sport: 24
- Students not in the Band but play a Sport: 10 (since \(34 - 24 = 10\))
Now, let's consider the arrangement for the rows and columns in a contingency table.
A reasonable setup is:
-
Columns that could represent whether students are in the band or not:
- In a Band
- Not in a Band
-
Rows that could represent whether students play a sport or not:
- Play a Sport
- Do Not Play a Sport
Thus, the best choice among the options to represent the categories would be: Column: In a Band, Not in a Band; Row: Play a Sport, Do Not Play a Sport
The configuration allows us to clearly show the overlap between students in the band and those who play sports.
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