## Free Response Questions: 2012 AP Stats, possible answers?

Hi All,

The College board recently released the 2012 AP Statistics Free Response questions today.  Possible solutions, 2012 FR questions.

Any corrections, comments, and feedback appreciated.

Note:  I am not a representative of the College Board, nor a member of any committees about the AP exam.  I have been a grader in past years, but cannot represent what are complete /correct answers will look like at the grading.

This is just one teacher posting what might be good answers.   But tear them up if I screwed up.

I have been a math/statistics teacher for 25 years. I currently teach at an independent school in southern California. I also coach teaching fellows for Math for America - Los Angeles chapter. I love my career, my colleagues, and my friends & family.
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### 2 Responses to Free Response Questions: 2012 AP Stats, possible answers?

1. John Burnette says:

The actual questions seem not to be downloadable at this time so I’m working off memories of seeing them a few days ago.

While agree with your answer in question 5 (the flabby town question), I believe there is another legitimate answer. If a reputable study was done, and 35% of people came up as fit, then our best guess of how many people who are fit would be …. well … 35%.

If the town fathers then asked for a statistical one way test to be run showing that number of fit people is less than 35 – and here we are believing that 35% is our best guess, then I’m thinking we’d only have a 5% of rejecting the null hypothesis – which is, after all, what we actually believe at this point.

My apologies if I’ve gotten something minor in the statement of the problem wrong.

I think overall this question is a brilliant check on fragile learning. I was quite disheartened to find that almost non of my students were able to follow the point I was making.

• roughlynormal says:

I think I understand the logic you make. But I wonder if this line of reasoning places a lot of trust in not sweating something that should always be checked: was the sample taken from a random sample of the population of interest? If we don’t have this verified, then how can we test any of the numbers claimed ?