8 min read
This study guide covers hypothesis testing errors and power. It defines Type I and Type II errors, including their probabilities (alpha and beta). It explains the factors affecting Type II error and how to increase the power of a test. The guide uses examples to illustrate these concepts in context and provides practice questions.
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Question 1 of 11
What is a Type I error in hypothesis testing? 🤔
Failing to reject a false null hypothesis
Rejecting a true null hypothesis
Correctly rejecting a false null hypothesis
Correctly failing to reject a true null hypothesis