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Statistical Methods : An Introduction to Basic Statistical Concepts and Analysis by Cheryl Ann Willard (2020, Trade Paperback)
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About this product
Product Identifiers
PublisherRoutledge
ISBN-100367203529
ISBN-139780367203528
eBay Product ID (ePID)2309330229
Product Key Features
Number of Pages350 Pages
Publication NameStatistical Methods : an Introduction to Basic Statistical concepts and Analysis
LanguageEnglish
SubjectResearch
Publication Year2020
TypeTextbook
Subject AreaSocial Science
AuthorCheryl Ann Willard
FormatTrade Paperback
Dimensions
Item Height0.8 in
Item Weight22.4 Oz
Item Length10 in
Item Width7 in
Additional Product Features
Edition Number2
Intended AudienceCollege Audience
Dewey Edition23
IllustratedYes
Dewey Decimal519.5
Table Of ContentList of Tables Preface Acknowledgments Introduction Chapter 1. Introduction to Statistics Chapter 2. Organizing Data Using Tables and Graphs Chapter 3. Measures of Central Tendency Chapter 4. Measures of Variability Chapter 5. z-Scores and Other Standard Scores Chapter 6. Probability and the Normal Distribution Chapter 7. Sampling Distribution of Means Chapter 8. Hypothesis Testing Chapter 9. One-Sample t Test Chapter 10. Two-Sample t Test: Independent Samples Design Chapter 11. Two-Sample t Test: Related Samples Design Chapter 12. Confidence Interval versus Point Estimation Chapter 13. One-Way Analysis of Variance Chapter 14. Factorial Analysis of Variance Chapter 15. Correlation and Regression Chapter 16. Chi-Square Chapter 17. Nonparametric Statistics for Ordinal Data Appendix A. Glossary of Statistical Terms Appendix B. Glossary of Statistical Formulas Appendix C. Answers to Odd Numbered End of Chapter Problems Tables
SynopsisStatistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual, Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis , Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z -scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual, Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis , Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual
LC Classification NumberQA276.W5 2020
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