Simplifying Statistics for Graduate Students: Making the Use of Data Simple and User-Friendly

Susan Rovezzi Carroll; David J. Carroll

doi:10.5771/9781475868401

Summary

One of the greatest barriers to completing a graduate thesis or a doctoral dissertation is statistics. Oftentimes, the journey through graduate school is gratifying when the content courses in the chosen field of study are undertaken. Conversely, the statistics courses are met with trepidation. Many graduate students feel lost when it comes to dealing with data. Simplifying Statistics for Grad Students:Making the Use of Data Simple and User-Friendly is intended to help graduate students move through the barriers that seem formidable but are not. While this book is not a statistics text and does not purport to be such, it introduces graduate students to basic statistical concepts in an easy-to-comprehend manner. It is also a handbook that they can refer back to time and time again. Expertise with data is expected of graduate students. Simplifying Statistics for Grad Students is an antidote for the research and statistics blues.

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Bibliographic data

Edition: 1/2023
Copyright Year: 2023
ISBN-Print: 978-1-4758-6838-8
ISBN-Online: 978-1-4758-6840-1
Publisher: Rowman & Littlefield, Lanham
Language: English
Pages: 122
Product Type: Monograph

1. Contents No access
2. Introduction No access
Chapter One Variables and How to Measure Them No access Pages 1 - 10
Chapter Two Intelligently Managing Your Data No access Pages 11 - 16
Chapter Three Graphing Techniques to Support Your Data No access Pages 17 - 26
Chapter Four Means, Medians, and Modes and When to Use Each No access Pages 27 - 34
Chapter Five Measuring Variability No access Pages 35 - 46
Chapter Six Random Sampling and Other Useful Sampling Strategies No access Pages 47 - 54
Chapter Seven Stating Hypotheses and Hypothesis Testing No access Pages 55 - 62
Chapter Eight t-Test Procedures No access Pages 63 - 74
Chapter Nine ANOVA Procedures No access Pages 75 - 84
Chapter Ten Chi-Square Procedures No access Pages 85 - 92
Chapter Eleven Correlation Procedures No access Pages 93 - 102
Chapter Twelve Regression Procedures No access Pages 103 - 112
1. About the Authors No access