CB.Stats: AP Statistics Learning Objectives

AP Statistics Learning Objectives

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CB.Stats.VARVariation and DistributionCB.Stats.UNCUncertainty and InferenceCB.Stats.DATData Analysis
Example Problems
A summer swim coach wondered whether preferred competition stroke was related to swimmer age group. They surveyed a random sample of 150 swimmers. Here are the outcomes and partial results of a chi-square test (expected counts appear below observed counts):

Chi-square test: Preferred stroke vs. age group
FreestyleBackstrokeButterflyTotal
Under 1645301590
363618
16 and older15301560
242412
Total606030150


They want to use these results to carry out a
test of independence. Assume that all conditions for inference were met.

What is the value of the test statistic for their test?
A softball coach is testing whether a new bat increases hit rate. Against a particular alternative, her test has power . What is the probability of a Type II error for that alternative?
Priya was testing versus with a sample of 12 observations. Her test statistic was . Assume that the conditions for inference were met.

What is the approximate
P-value for Priya's test?
Round your answer to the nearest thousandth.
A school newspaper club wondered whether the frequency of TikTok use varied by grade level. They surveyed a random sample of 200 students. Here are the outcomes and partial results of a chi-square test (expected counts appear below observed counts):

Chi-square test: TikTok use frequency vs. grade level
9th grade10th grade11th gradeTotal
Uses daily603030120
483636
Does not use daily20303080
322424
Total806060200


They want to use these results to carry out a
test of independence. Assume that all conditions for inference were met.

What is the value of the test statistic for their test?
A baseball analyst is testing whether a new batting stance increases on-base percentage. For a specific alternative, she calculates that the probability of a Type II error is . What is the power of her test against that alternative?
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