2021 AP Statistics Free Response #6 (First Administration)

Walkthrough of the 2021 AP Statistics Free Free Response #6 (May 17, 2021 administration).

Link to College Board Release FRQ:

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[sarahlevin]

Hi! For part a, are there specific things you have to talk about when describing the spread? I only talked about range, not IQR. Would that still be ok and get me all the points?

[mayasato]

For part d, would it make sense to put the stadium is a confounding variable because likely the new stadium is larger and can fit more attendees than the old one and that's why the attendance has grown? We will never know if they could have won more games in the old stadium with the attendance they have in the new stadium because that many attendees just couldn't fit.

[teddytaylor]

For part d I said something along the lines of “as there is not a strong correlation between year and attendance (for the old stadium which would make it hard to say there’s a strong relationship of attention and year overall, regardless of stadium), there is no statistical evidence that shows year affects attendance. Next, the line of best fit for the old stadium in the wins vs. attendance has approximately the same slope, meaning that the stadium does not affect the attendance. This only leaves the number of wins. The time that the new stadium didn’t win as many games has an attendance similar to the times the old stadium won an equal amount of games. The final graph also shows a positive relationship between games won and attendance

[interstellar]

For part D, I said year could’ve been a confounding because of cultural/economic shifts. Would that be fine given I said this in context?

[aidan]

Could you say in part b that the new stadium has a non linear correlation because of possible influential points? (of course giving coordinates)

[alfadoesstuff.]

For part D the confounding variable would be the number of games won. The confounding variable represents a true cause-and-effect relationship which may lead you to mistakenly believe that there is a cause-and-effect relationship between other variables. In this instance, the number of games won is the true relationship, which makes it look like year and type of stadium also have a cause-and-effect relationship with average attendance.

This was a difficult question.

[kristiankieffer]

For part D I stated that the increasing popularity of the sport could be a confounding variable. Would that also be a correct answer?

[brownvengeance]

since the graph is in thousands, do we have to say 25, 000 instead of 25 in our answers