Hypothesis Testing Errors
Grade 12 · Math · 60 min
What's Included
Learning Objective
I can differentiate between Type I and Type II errors in hypothesis testing.
Warm-Up Video
jbstatistics · 8:11
Type I Errors, Type II Errors, and the Power of the Test
Guided Notes
3 key concepts
- 1
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.
- 2
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.
- 3
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 Questions
12 questions · Multiple choice & Short answer
Exit Ticket
Quick comprehension check
“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".”
Complete Lesson Package
Get all 3 ready-to-use resources:
