Tips for writing free response questions on the ap statistics exam
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Tips for Writing Free Response Questions on the AP Statistics Exam. Laura Trojan Cannon School. Common Topics. Exploratory Data Analysis One-variable data Descriptive statistics: Center, Shape, Spread Two-variable data Correlation, regression, residual plots, coefficient of determination

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Tips for Writing Free Response Questions on the AP Statistics Exam

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Tips for writing free response questions on the ap statistics exam

Tips for Writing Free Response Questions on the AP Statistics Exam

Laura Trojan

Cannon School


Common topics

Common Topics

  • Exploratory Data Analysis

    • One-variable data

      • Descriptive statistics: Center, Shape, Spread

    • Two-variable data

      • Correlation, regression, residual plots, coefficient of determination

  • Hypothesis Tests

  • Probability

  • Experimental Design


Common task choose

Common Task: Choose

  • If asked to choose between two things (fuel additive A or fuel additive B), students should state why they would choose one AS WELL AS why they would NOT choose the other.

    • Think about “The Bachelor.”


Common task compare

Common Task: Compare

  • If asked to compare, students should make less than/greater than statements.

    • See sample question 1 from 2005 – K1 and S1.

  • Compare like things. Never compare a median of one distribution to the 1st quartile of another. Instead, compare the median of distribution A to the median of distribution B.

  • AP Questions often ask students to compare one-variable distributions. They’ll need to compare some measure of center, shape, and spread.


  • Common task test of significance

    Common Task: Test of Significance

    • Hypothesis Test rubrics generally look for four components:

      • State the hypotheses with the correct symbols. Define any subscripts.

      • Identify (by NAME or by FORMULA) a test-statistic. State and check the assumptions.

      • Calculate the value of the test-statistic. Calculate the p-value and compare it to alpha. Reject or fail to reject the null hypothesis.

      • State your conclusion in words in the context of the problem.


    Writing tips

    Writing Tips

    • Be clear, brief, and explicit. Read the question. Answer the question. No more, no less.

      • Students who ramble on and on are likely to contradict themselves. Plus, when a student is succinct, it is clear that he/she knows what the question is asking and how to answer it.

        • See sample question 1 from 2005 - D1 and U2.


    Writing tips1

    Writing Tips

    • Tell students: never contradict yourself.

    • If they asked to choose between items, TAKE A STAND. Make a choice. This isn’t the time to state what’s good and bad about both items.

    • NEVER write calculator commands.

      • Never? Never. Never ever. Not even once. Period.


    Writing tips2

    Writing Tips

    • Be careful about strong language.

      • One sample design question asked why we randomly allocate subjects to treatment groups. If students stated that random allocation ELIMINATES bias, they were given NO credit.


    Writing tips3

    Writing Tips

    • Be careful about the converse of if/then statements.

      • If the distribution is skewed right, then the mean is greater than the median.

      • If the mean is greater than the median, then the distribution is skewed right.

        • Can anyone give a counter-example?


    Writing tips4

    Writing Tips

    • Do not use pronouns!

      • “It is higher.” WHAT is higher?

  • Don’t use no double negatives.

    • I fail to reject that I don’t believe that the data are not independent.


  • Common student errors

    Common Student Errors

    • Failing to realize that when the directions say “Give appropriate statistical evidence to support your conclusion” or “Justify, using statistical evidence” students are being asked to conduct FORMAL hypothesis tests.

    • Failing to realize that when students write the words “on average” that they’re referencing the mean.

    • Using non-statistical words to convey a statistical concept.

      • The graph is “even.” ??? Does the student mean uniform? Symmetric? Normal?

      • The residual plot is “half above and half below.” I think the student meant randomly scattered.

      • The data are “consistent.” Does the student mean less variable?


    Common student errors1

    Common Student Errors

    • Making assumptions about how much they should write. The amount of space left for students to answer the question is NOT an indication of how much they should write.

    • Not recognizing that expected value = mean.

    • When stating assumptions, saying the data are normal.

      • The correct assumption is that the population is distributed normally. We check that assumption by looking at the distribution of the sample data.


    Common student errors2

    Common Student Errors

    • Confusing skewed right and skewed left.

    • Confusing symmetric or bell-shaped with approximately normal.

    • Confusing categorical data with quantitative data (or one-variable data with two-variable data)

    • Listing everything they know and hoping that part of it is correct.

      • This often leads to a “parallel solution.” The graders will grade the weakest of the solutions.


    Common student errors3

    Common Student Errors

    • Confusing random sampling with random allocation. They need to know the difference between taking a simple random sample and randomly allocating subjects to treatment groups.

    • Incorporating blocking schemes when blocking doesn’t make sense or might actually undermine the experiment.

    • Editor’s note: you can’t spend too much time on experimental design!!!


    Common student errors4

    Common Student Errors

    • Confusing interpretations of the confidence LEVEL with interpretations of the confidence INTERVAL.

    • Failing to state their results and interpret their results in the context of the problem.

    • Name dropping.

      • Student answers, “Yes, because of the <insert theorem name here>.” NO CREDIT!!!


    In the end

    In the end…

    • It’s not what you know.

    • It’s what you can PROVE that you know.


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