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.

Simplifying Statistics for Graduate Students is an excellent “Must-Have” for anyone in a graduate program The progressive organization provides an easy to comprehend, matter-of-fact way, moving from simple to complex. Completing a doctoral degree is a process and a journey. This book gives the reader a superb roadmap to success on that journey.

• IntroductionChapter 1. Variables and How to Measure ThemChapter 2. Intelligently Managing Your DataChapter 3. Graphing Techniques to Support Your DataChapter 4. Means, Medians, and Modes and When to Use EachChapter 5. Measuring Variability: An Important Role in DataChapter 6. Random Sampling and Other Useful Sampling StrategiesChapter 7. Stating Hypotheses and Hypothesis TestingChapter 8. T-test ProceduresChapter 9. ANOVA ProceduresChapter 10. Chi-square ProceduresChapter 11. Correlation ProceduresChapter 12. Regression ProceduresChapter 13. Practical Tips for Graduate StudentsAbout the Authors

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.

Simplifying Statistics for Graduate Students is an excellent “Must-Have” for anyone in a graduate program The progressive organization provides an easy to comprehend, matter-of-fact way, moving from simple to complex. Completing a doctoral degree is a process and a journey. This book gives the reader a superb roadmap to success on that journey.

• IntroductionChapter 1. Variables and How to Measure ThemChapter 2. Intelligently Managing Your DataChapter 3. Graphing Techniques to Support Your DataChapter 4. Means, Medians, and Modes and When to Use EachChapter 5. Measuring Variability: An Important Role in DataChapter 6. Random Sampling and Other Useful Sampling StrategiesChapter 7. Stating Hypotheses and Hypothesis TestingChapter 8. T-test ProceduresChapter 9. ANOVA ProceduresChapter 10. Chi-square ProceduresChapter 11. Correlation ProceduresChapter 12. Regression ProceduresChapter 13. Practical Tips for Graduate StudentsAbout the Authors

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.

Simplifying Statistics for Graduate Students is an excellent “Must-Have” for anyone in a graduate program The progressive organization provides an easy to comprehend, matter-of-fact way, moving from simple to complex. Completing a doctoral degree is a process and a journey. This book gives the reader a superb roadmap to success on that journey.

• IntroductionChapter 1. Variables and How to Measure ThemChapter 2. Intelligently Managing Your DataChapter 3. Graphing Techniques to Support Your DataChapter 4. Means, Medians, and Modes and When to Use EachChapter 5. Measuring Variability: An Important Role in DataChapter 6. Random Sampling and Other Useful Sampling StrategiesChapter 7. Stating Hypotheses and Hypothesis TestingChapter 8. T-test ProceduresChapter 9. ANOVA ProceduresChapter 10. Chi-square ProceduresChapter 11. Correlation ProceduresChapter 12. Regression ProceduresChapter 13. Practical Tips for Graduate StudentsAbout the Authors