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AP Statistics 3.8: Errors in Hypothesis Tests

Identify and interpret Type I and Type II errors, then explain how sample size, significance level, and consequences affect test design.

Syllabus
Effective Fall 2025
Course
AP Statistics

3.8 Potential Errors When Performing Tests question 1

According to a 2017 national survey in Country B, the mean number of bedrooms in newly built

houses was 2.9. Rodney, a researcher, believes the mean number of bedrooms in newly built

houses in the country was different in 2024 than it was in 2017. To investigate his belief, he took

a large random sample of newly built houses in Country B in 2024 and recorded the number of

bedrooms in each house. The distribution of the number of bedrooms for the sampled houses is

summarized in the table.

Distribution of the Number of Bedrooms for the Houses Sampled in 2024

Table for Question 3.8 Potential Errors When Performing Tests question 1 — AP Statistics

Rodney will use a one-sample t-test for a population mean to test his belief.

Explain, in context, what a Type I error would be for Rodney's hypothesis test.

3.8 Potential Errors When Performing Tests question 2

[Maximum number: 1]

Suppose you did 10 independent tests of the form H0:μ=25H_{0}: \mu=25 versus Ha:μ<25H_{\mathrm{a}}: \mu<25, each at the α=0.05\alpha=0.05 significance level. What is the probability of committing a Type I error and incorrectly rejecting a true H0H_{0} with at least one of the 10 tests?

A

0.05

B

0.40

C

0.60

D

0.95

3.8 Potential Errors When Performing Tests question 3

[Maximum number: 4]

Systolic blood pressure is the amount of pressure that blood exerts on blood vessels while the heart is beating. The mean systolic blood pressure for people in the United States is reported to be 122 millimeters of mercury (mmHg) with a standard deviation of 15 mmHg.
The wellness department of a large corporation is investigating whether the mean systolic blood pressure of its employees is greater than the reported national mean. A random sample of 100 employees will be selected, the systolic blood pressure of each employee in the sample will be measured, and the sample mean will be calculated.
Let μ\mu represent the mean systolic blood pressure of all employees at the corporation. Consider the following hypotheses.

H0:μ=122Ha:μ>122\begin{aligned} & \mathrm{H}_{0}: \mu=122 \\ & \mathrm{H}_{\mathrm{a}}: \mu>122 \end{aligned}

Question (a)

(a)

Describe a Type II error in the context of the hypothesis test.

Question (b)

(b)

What statistical term is used for the probability found in part (c) ?

Question (c)

(c)

Suppose the size of the sample of employees to be selected is greater than 100. Would the probability of rejecting the null hypothesis be greater than, less than, or equal to the probability calculated in part (c) ? Explain your reasoning.

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