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Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.
Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book. Learn basic concepts of measurement and probability theory, data management, and research design Discover basic statistical procedures, including correlation, the t-test, the chi-square and Fisher's exact tests, and techniques for analyzing nonparametric data Learn advanced techniques based on the general linear model, including ANOVA, ANCOVA, multiple linear regression, and logistic regression Use and interpret statistics for business and quality improvement, medical and public health, and education and psychology Communicate with statistics and critique statistical information presented by others
Inhaltsverzeichnis
Preface
Chapter 1: Basic Concepts of Measurement
Chapter 2: Probability
Chapter 3: Inferential Statistics
Chapter 4: Descriptive Statistics and Graphic Displays
Chapter 5: Categorical Data
Chapter 6: The t-Test
Chapter 7: The Pearson Correlation Coefficient
Chapter 8: Introduction to Regression and ANOVA
Chapter 9: Factorial ANOVA and ANCOVA
Chapter 10: Multiple Linear Regression
Chapter 11: Logistic, Multinomial, and Polynomial Regression
Chapter 12: Factor Analysis, Cluster Analysis, and Discriminant Function Analysis
Chapter 13: Nonparametric Statistics
Chapter 14: Business and Quality Improvement Statistics
Chapter 15: Medical and Epidemiological Statistics
Chapter 16: Educational and Psychological Statistics
Chapter 17: Data Management
Chapter 18: Research Design
Chapter 19: Communicating with Statistics
Chapter 20: Critiquing Statistics Presented by Others
Review of Basic Mathematics
Introduction to Statistical Packages
References
Probability Tables for Common Distributions
Online Resources
Glossary of Statistical Terms
Colophon
Über den Autor / die Autorin
Sarah Boslaugh holds a PhD in Research and Evaluation from the City University of New York and has been working as a statistical analyst for 15 years, in a variety of professional settings, including the New York City Board of Education, the Institutional Research Office of the City University of New York, Montefiore Medical Center, the Virginia Department of Social Services, Magellan Health Services, Washington University School of Medicine, and BJC HealthCare. She has taught statistics in several different contexts and currently teaches Intermediate Statistics at Washington University Medical School.
Zusammenfassung
Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.
Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.
* Learn basic concepts of measurement and probability theory, data management, and research design
* Discover basic statistical procedures, including correlation, the t-test, the chi-square and Fisher’s exact tests, and techniques for analyzing nonparametric data
* Learn advanced techniques based on the general linear model, including ANOVA, ANCOVA, multiple linear regression, and logistic regression
* Use and interpret statistics for business and quality improvement, medical and public health, and education and psychology
* Communicate with statistics and critique statistical information presented by others
