Summary
Contents
Subject index
A friendly and approachable guide to real-world statistics, Practical Statistics for Nursing Using SPSS covers the most common statistical functions in nursing science using plain language. Students learn by doing, and an emphasis on this practical approach is seen throughout the book with each chapter structured to answer key questions: 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? Practice exercises include a vignette, codebook, and data sets ready for processing, enabling students to achieve mastery by carrying out actual statistical analyses. Online resources for students are available at study.sagepub.com/statsfornursing and include data sets for examples and exercises, fully developed solutions to all odd-numbered exercises, and thorough tutorial videos providing an overview of each statistical method, step-by-step guidance on SPSS processing, and interpretation of results. Online resources for instructors include Microsoft® PowerPoint® slides for each chapter and solutions to all exercises.
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 value
- 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.
Video
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