Statistics in a Nutshell 2e | Sarah Boslaugh
Need to learn statistics as part of your job, or want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone who's...
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Statistics in a Nutshell 2e | Sarah Boslaugh
Statistics in a Nutshell 2e | Sarah Boslaugh
Описание на продукта
Need to learn statistics as part of your job, or want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone who's...
Параметри на продукта
Автор
Sarah Boslaugh
Език
Английски
Година на издаване
2012
Брой страници
592
Тегло
772
Параметри на продукта
Автор
Sarah Boslaugh
Език
Английски
Година на издаване
2012
Брой страници
592
Тегло
772
Описание на продукта
Need to learn statistics as part of your job, or want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone who's new to the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts. Each chapter in this thoroughly revised and expanded edition presents easy-to-follow descriptions illustrated by graphics, formulas, and lots of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis. Statistics in a Nutshell includes: Introductory material - Learn basic concepts of measurement and probability theory, data management for statistical analysis, research design and experimental design, how to write up your own results, and how to critique statistics presented by others Basic inferential statistics - Discover the concepts of hypothesis testing, simple correlation, the distinction between parametric and nonparametric statistics, and learn simple methods of analysis appropriate to dichotomous, categorical, and continuous variables Advanced inferential techniques - Learn the General Linear Model, including analysis of Variance (ANOVA), multiple linear regression, and logistic and multinomial regression Specialized techniques - Use and interpret business and quality improvement statistics, medical and public health statistics, and educational and psychological statistics If you need to know how to perform most common statistical analyses, and how to use a wide range of statistical techniques without getting in over your head, this is the book for you.
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