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Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts. You get a firm grasp of the fundamentals and a handson understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easytofollow descriptions illustrated by graphics, formulas, and plenty 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. Organized into four distinct sections, Statistics in a Nutshell offers you:
Introductory material:
Different ways to think about statistics
Basic concepts of measurement and probability theory
Data management for statistical analysis
Research design and experimental design
How to critique statistics presented by others
Basic inferential statistics:
Basic concepts of inferential statistics
The concept of correlation, when it is and is not an appropriate measure of association
Dichotomous and categorical data
The distinction between parametric and nonparametric statistics
Advanced inferential techniques:
The General Linear Model
Analysis of Variance (ANOVA) and MANOVA
Multiple linear regression
Specialized techniques:
Business and quality improvement statistics
Medical and public health statistics
Educational and psychological statistics
Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to overemphasize calculation without teaching you when and how to apply different statistical tests.
With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.
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