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AP Statistics 3.8: Factors Affecting Errors

Identify how sample size, standard error, distance from the null value, and significance level change Type II error and power.

Syllabus
Effective Fall 2025
Course
AP Statistics

3.8.C—Identify the factors that affect the probability of errors in hypothesis testing question 1

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}

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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