Hypothesis Testing Errors
Learning Objective
I can differentiate between Type I and Type II errors in hypothesis testing.
Lesson Flow
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Type I Errors, Type II Errors, and the Power of the Test
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Guided Notes
Key concepts students will learn:
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A Type I error occurs when the null hypothesis is rejected when it is actually true, whereas a Type II error occurs when the null hypothesis is not rejected when it is actually false.
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The probability of making a Type I error is denoted by alpha, while the probability of making a Type II error is denoted by beta.
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The power of a test is the probability of rejecting the null hypothesis when it is false, and it is calculated as 1 - beta.
Practice
12 questions • Multiple choice & Short answer
Exit Ticket
“Explain the difference between a Type I error and a Type II error in hypothesis testing. Provide an example of each in the context of testing whether the average height of adult women is 5'4".”
Teacher Guide
Get the complete package:
- Answer keys for all questions
- Differentiation strategies
- Extension activities
- Printable student handouts
