Lesson 6: Hypothesis Testing, Part 2

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Last week you learned how to conduct a hypothesis testing using randomization procedures in StatKey. This week we are going to delve a bit deeper into hypothesis testing. Concepts such as errors, significance (\(\alpha\)) levels, issues with multiple testing, replication, practical significance, and statistical power apply to hypothesis tests for all the parameters that we have learned and will also apply to those that we will learn later in this course. 

Lesson 6 Learning Objectives

Upon successful completion of this lesson, you should be able to:

  • Identify Type I and Type II errors
  • Select an appropriate significance (\(\alpha\)) level for a given scenario
  • Explain the problems associated with conducting multiple tests
  • Explain why replicating results is important
  • Interpret the results of a hypothesis test in terms of practical significance
  • Identify factors related to the statistical power of a test
  • Compare and contrast confidence intervals and hypothesis tests