Coolidge, F: Statistics
(Sprache: Englisch)
With Statistics: A Gentle Introduction, Third Edition, an introductory stats class needn't be difficult or dull! This textbook has been specifically designed to curtail students' anxieties and minimize unnecessary formulas, while...
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Klappentext zu „Coolidge, F: Statistics “
With Statistics: A Gentle Introduction, Third Edition, an introductory stats class needn't be difficult or dull! This textbook has been specifically designed to curtail students' anxieties and minimize unnecessary formulas, while providing a comprehensive review of basic statistical designs and analyses. A wealth of additional real-world examples have been included to give a sense of how the science of statistics works, solves problems, and helps us make informed choices about the world we live in. The author minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes a glossary of key terms, symbols, and definitions at the end of each chapter. Every chapter also includes a short story about historical and contemporary statisticians who figured prominently in the evolution of the discipline of statistics.
New to the Third Edition is the thorough incorporation of SPSS throughout, more visual material and figures, and an enhanced treatment of effect sizes, and more detailed explanation of statistical concepts.
Inhaltsverzeichnis zu „Coolidge, F: Statistics “
PrefaceAcknowledgmentsAbout the Author1. A Gentle Introduction2. Descriptive Statistics: Understanding Distributions of Numbers3. Statistical Parameters: Measures of Central Tendency and Variation4. Standard Scores, the Z Distribution, and Hypothesis Testing5. Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the z Distribution6. An Introduction to Correlation and Regression7. The t Test for Independent Groups8. The t Test for Dependent Groups9. Analysis of Variance (ANOVA): One-Factor Completely Randomized Design10. After a Significant Analysis of Variance: Multiple Comparison Tests11. Analysis of Variance (ANOVA): One-Factor Repeated-Measures Design12. Analysis of Variance: Two-Factor Completely Randomized Design13. Post Hoc Analysis of Factorial ANOVA14. Factorial ANOVA: Additional Designs15. Nonparametric Statistics: The Chi-Square Test16. Other Statistical Parameters and TestsAppendix A: z DistributionAppendix B: t DistributionAppendix C: Spearman's CorrelationAppendix D: The Chi-Square DistributionAppendix E: F DistributionAppendix F: Tukey's TableReferencesIndex
Autoren-Porträt von Frederick L. Coolidge
Frederick L. Coolidge (Ph.D.) received his B.A., M.A., and Ph.D. in Psychology at the University of Florida. He completed a two-year postdoctoral fellowship in clinical neuropsychology at Shands Teaching Hospital in Gainesville, Florida. He has been awarded three Fulbright Fellowships to India (1987, 1992, and 2005). He has also won three teaching awards at the University of Colorado (1984, 1987, and 1992), including the lifetime title of University of Colorado Presidential Teaching Scholar. In 2005, he received the University of Colorado at Colorado Springs College of Letters, Arts, and Sciences' Outstanding Research and Creative Works award. Dr. Coolidge conducts research in behavioral genetics and has established the strong heritability of gender identity and gender identity disorder. He also conducts research in lifespan personality assessment and has established the reliability of posthumous personality evaluations, and also applies cognitive models of thinking and language to explain evolutionary changes in the archaeological record.
Bibliographische Angaben
- Autor: Frederick L. Coolidge
- 2012, 3rd edition, 488 Seiten, Maße: 18,9 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Sage Publications Ltd.
- ISBN-10: 1412991714
- ISBN-13: 9781412991711
Sprache:
Englisch
Rezension zu „Coolidge, F: Statistics “
"I like the conversational writing style and fascinating examples. The background information about important figures in the history and development of statistics separates this text from most others. The SPSS instructions are clear and easy to follow and the interpretation of the SPSS output is excellent."
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