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A Crash Course in Statistics
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A Crash Course in Statistics



December 2017 | 96 pages | SAGE Publications, Inc

A Crash Course in Statistics is a short introduction to key statistical methods including descriptive statistics, one-way and two-way ANOVA, the t-test, and Chi Square. Each of the five chapters provides an overview of each method, and then walks readers through a relevant example, using SPSS to highlight how to run the statistics and how to write up the results in APA style. Each chapter ends with a self-quiz so that readers can assess their understanding of each statistical concept. This “crash course” supplement is a must-have statistics refresher for students taking research methods classes; a handy additional reference for introductory statistics students; and a guide for anyone who needs to be a consumer of statistics.

 
About the Author
 
Chapter 1. Descriptive Statistics
 
Chapter 2. Nonparametric Statistics: Chi Square
 
Chapter 3. The t-Test
 
Chapter 4.The One-Way (Simple) ANOVA
 
Chapter 5. The Factorial (or Two-Way) ANOVA
 
Answer Key

Supplements

Student Study Site
SPSS® files to run the examples from the book are available for download at the open-access Student Study Site.

Some students seem to panic when faced with statistics. This is a very easy to read book that helps students digest statistics in small chunks.

Dr Helen Nicholas
Institute of Health & Society, Worcester University
January 4, 2019

Ryan Jeffrey Winter

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ISBN: 9781544307046
$42.00

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.