8 min read
This study guide covers confidence intervals and hypothesis testing for two proportions. It explains how to interpret confidence intervals, including key components like confidence level, population proportions, and context. It also shows how to use confidence intervals for hypothesis testing by checking if zero is within the interval. Finally, it discusses common mistakes, exam focus areas, and provides practice questions with answers and a scoring rubric.
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Question 1 of 9
🎉 A 95% confidence interval for the difference in proportions of students preferring online vs. in-person classes is calculated. Which of the following does the interval estimate?
The difference in sample proportions
The true difference in population proportions
The difference in sample means
The probability of a difference