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Simplifying Statistics for Graduate Students
Making the Use of Data Simple and User-Friendly
Authors:
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Publisher:
2023
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
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
Book Titles
Table of contents
ChapterPages
Contents No access
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
