Statistics in a Nutshell: A Desktop Quick Reference / Boslaugh, Sarah

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

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