Hypothesis Testing in AP Statistics

The video tutorial covers inference for categorical data, focusing on confidence intervals and hypothesis testing for proportions. It explains the difference between confidence intervals and hypothesis tests, provides formulas, and references textbook pages. The tutorial includes a detailed walkthrough of hypothesis testing steps, an example problem from a previous AP test, and a discussion on Type 1 and Type 2 errors.

What is the main focus of unit 6 in AP Statistics?

• Descriptive statistics

• Inference for numerical data

• Inference for categorical data

• Probability theory

Which chapters are covered in unit 6?

• Chapters 10 through 13

• Chapters 15 through 18

• Chapters 23 through 26

• Chapters 19 through 22

What is a confidence interval used for?

• Estimating a population parameter

• Testing a hypothesis

• Determining a sample size

• Calculating a mean

What is the formula for a confidence interval?

• Estimate ± Standard Deviation

• Estimate ± Z-score

• Estimate ± Margin of Error

• Estimate ± Variance

Where can you find the formula for the margin of error in the textbook?

• Page 442

• Page 437

• Page 498

• Page 433

What is the main focus of hypothesis testing in this unit?

• Comparing variances

• Comparing medians

• Comparing means

• Comparing two proportions

What is the significance level commonly used in hypothesis testing?

• 0.05

• 0.15

• 0.01

• 0.10

What is the first step in conducting a hypothesis test?

• Collecting data

• Formulating hypotheses

• Calculating test statistics

• Drawing conclusions

What is the null hypothesis in a two-proportion test?

• The proportions are less

• The proportions are equal

• The proportions are different

• The proportions are greater

What is the alternative hypothesis if the question asks for a difference?

• Proportions are less

• Proportions are greater

• Proportions are not equal

• Proportions are equal