In this AP Statistics review session, Mr. Starnes covers inference for quantitative data, focusing on means and slopes. The session includes multiple choice practice questions and a detailed walkthrough of a free response question. Feedback from previous sessions is addressed, and resources for the session are provided. The session concludes with a recap and a look ahead to future sessions.

What is the main focus of the session introduced by Mr. Starnes?

• AP exam strategies

• Graphing calculator usage

• Inference for quantitative data

• Inference for categorical data

What resource is mentioned as being available for the session?

• Practice exams

• Online video tutorials

• Session handout and formula sheets

• AP Statistics textbook

What feedback did students provide regarding the formula sheet?

• It is the same as the exam version

• It is different from the exam version

• It is only available online

• It is not useful for practice

What will Mr. Wilcox focus on in session five?

• Calculator skills

• Confidence intervals

• Significance tests

• Data collection methods

What does a confidence level interpretation involve?

• The mean of the sample data

• The percentage of intervals capturing the truth

• The standard deviation of the population

• The range of data values

What is a type 2 error in hypothesis testing?

• Failing to reject a false null hypothesis

• Rejecting a true null hypothesis

• Rejecting a true alternative hypothesis

• Accepting a false alternative hypothesis

Which method is appropriate for constructing a confidence interval when the population standard deviation is unknown?

• ANOVA

• Chi-square test

• T interval

• Z interval

What is the significance level used in the free response question?

• 0.001

• 0.01

• 0.05

• 0.10

What is the first step in the significance test process?

• Performing calculations

• Stating the hypotheses

• Checking conditions

• Drawing conclusions

What is the purpose of verifying conditions in a significance test?

• To identify the null hypothesis

• To ensure the test is valid

• To calculate the p-value

• To determine the sample size