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Simplifying Statistics for Graduate Students

eBook - Making the Use of Data Simple and User-Friendly

Erschienen am 12.04.2023
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Bibliografische Daten
ISBN/EAN: 9781475868401
Sprache: Englisch
Umfang: 134 S.
Auflage: 1. Auflage 2023
E-Book
Format: PDF
DRM: Adobe DRM

Beschreibung

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 Studentsis an antidote for the research and statistics blues.

Autorenportrait

Susan Rovezzi Carroll, PhD has provided hundreds of graduate students with advice and support on research methods and statistical procedures. She is president of Words& Numbers Research, Inc. which she founded in 1984.

David Carroll, MSW is vice president of Words& Numbers Research, Inc. He has several research publications and books to his credit and has expertise in demographic data analysis and the development of performance indicators for assessing outcomes.

Inhalt

Introduction

Chapter 1. Variables and How to Measure Them

Chapter 2. Intelligently Managing Your Data

Chapter 3. Graphing Techniques to Support Your Data

Chapter 4. Means, Medians, and Modes and When to Use Each

Chapter 5. Measuring Variability: An Important Role in Data

Chapter 6. Random Sampling and Other Useful Sampling Strategies

Chapter 7. Stating Hypotheses and Hypothesis Testing

Chapter 8. T-test Procedures

Chapter 9. ANOVA Procedures

Chapter 10. Chi-square Procedures

Chapter 11. Correlation Procedures

Chapter 12. Regression Procedures

Chapter 13. Practical Tips for Graduate Students

About the Authors

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