Susan Rovezzi Carroll, David J. Carroll

Simplifying Statistics for Graduate Students (eBook, ePUB)

Making the Use of Data Simple and User-Friendly

• Format: ePub

Produktbeschreibung

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.

Produktdetails

• Verlag: Bloomsbury eBooks US
• Seitenzahl: 134
• Erscheinungstermin: 12. April 2023
• Englisch
• ISBN-13: 9781475868401
• Artikelnr.: 67448692

Autorenporträt

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.

Inhaltsangabe

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