Errors in Hypothesis Testing
- What is hypothesis testing? What are you trying to find out?
- What are the steps in hypothesis testing?
- What is a null hypothesis, and why is it important to hypothesis testing?
- Now consider the situation where a husband and wife go to the doctor’s office to each get some tests run and the doctor accidently mixes up their charts. The doctor comes into the exam room with the results of the tests and declares that the wife is NOT pregnant but her husband IS indeed pregnant with a baby. In section 9.2, the concepts of Type I and Type II errors are introduced.
- How does this scenario illustrate the concepts behind Type I and Type II errors?
- With this situation in mind, what type of error (Type I or Type II) is worse? Explain your reasoning.
- Remember to focus on the statistical concepts (rather than biological concepts) in this posting. The post’s focus is on the error types and not whether or not men can have babies.
The initial post should be a minimum of 150 words.