AP Statistics Flashcards: The Central Limit Theorem

Study The Central Limit Theorem in AP Statistics with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.

QUESTION

How does the shape of the population affect the sampling distribution?

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ANSWER

The shape does not affect it; the sampling distribution is approximately normal. CLT guarantees normality regardless of population distribution shape.

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AP Statistics: Sampling Distributions

Biased and Unbiased Point Estimates37 cards

Introducing Data Samples40 cards

Sampling Distributions for Sample Means24 cards

Sampling Distributions for Sample Proportions35 cards

Sampling for Differences in Sample Means25 cards

Sampling for Differences in Sample Proportions30 cards

You are hereThe Central Limit Theorem40 cards

The Normal Distribution, Revisited36 cards

All flashcards

40 cards

What this deck covers

This deck focuses on The Central Limit Theorem, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.

How to use these flashcards

Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.

Practice questions

1 of 30Practice questions for this set

The distribution of individual commute times in a large city is not normal; it is right-skewed due to occasional traffic jams. A researcher repeatedly takes random samples of

n=80

commuters and computes the sample mean commute time

\bar{x}

. The sampling distribution of

\bar{x}

is approximately normal. Why is the sampling distribution approximately normal?

Choose an answer

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