Summary
Contents
Subject index
The updated Second Edition of Herschel Knapp’s friendly and practical introduction to statistics shows students how to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts. Each chapter is structured to answer questions that students most want answered: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Online tutorial videos, examples, screenshots, and intuitive illustrations help students “get the story” from their data as they learn by doing, completing practice exercises at the end of each chapter using prepared downloadable data sets.
t Test and Mann-Whitney U Test
t Test and Mann-Whitney U Test
The difference between a violin and a viola is that a viola burns longer.
Learning Objectives
Upon completing this chapter, you will be able to:
- Determine when it is appropriate to run a t test
- Verify that the data meet the criteria for t test processing: normality, n, and homogeneity of variance
- Order a t test
- Interpret the test results
- Comprehend the α and p values
- Resolve the hypotheses
- Know when and how to run and interpret the Mann-Whitney U test
- Document the results in plain English
- Understand the implications of Type I and Type II errors
- Apply techniques for reducing the likelihood of committing Type I and Type II errors
NOTE: From here forward, the µ character will be used to symbolize the mean.
Videos
The videos for this chapter are ...
- Loading...