Week 8 - More Hypothesis Testing (optional)
Why
Now that we have the basics of hypothesis tests down, we will look as comparisons of two sample. Perhaps we nned to compare two different treatments for an illness, or compare the performance of two different groups.
Learning Objectives:
- Classify hypothesis tests by type.
- Conduct and interpret hypothesis tests for two population means, population standard deviations known.
- Conduct and interpret hypothesis tests for two population means, population standard deviations unknown.
- Conduct and interpret hypothesis tests for two population proportions.
- Conduct and interpret hypothesis tests for matched or paired samples.
Performance Criteria
- The learner will translate written scenarios into corresponding null and alternative hypotheses using correct notation for mean and proportion tests for two samples
- The learner will translate written scenarios and small data sets into corresponding hypothesis tests and use the complete procedure to test claims for two samples
- The learner will write a conclusion in complete sentences that relates the decision to the original hypotheses and includes the level of significance.
Important: linked above is my annotated version of chapter 10. As with the last couple of weeks, we will be using StatKey to build sampling distributions for hypothesis tests, and so won't need most of the formulas is chapter 10 yet.
Please read sections 10.1, 10.3, and 10.4. (Skip 10.2)
Here is a link to web book for chapter 10. Feel free to ignore all of the formulas for this week.
- Review - Read the above components and post any questions in the forum below.
- Practice - Complete the practice exercises that follow.
- Think - Answer the Critical Thinking questions in the "Critical Thinking" forum.
- Apply - Complete the Application Problems and upload your completed files.
- Assess - Complete the Peer Assessment for this Experience.
If you have any questions about the content (readings, problems, etc.) then post in the "Questions about Week 8" forum.
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