ABSTRACT

An introductory text for students taking a first course in statistics-in fields as diverse as engineering, business, chemistry, and biology-Essential Statistics: Fourth Edition thoroughly updates and enhances the hugely successful third edition. It presents new information on modern statistical techniques such as Analysis of Variance (ANOVA), and software such as MINITAB™ for WINDOWS.

An experienced former lecturer, the author communicates to students in his trademark easy-to-follow style. Keeping complex mathematical theory to a minimum, Rees presents a wealth of fully explained worked examples throughout the text. In addition, the end-of-chapter Worksheets relate to a variety of fields-enabling students to see the relevance of the numerous methods to their study areas. Essential Statistics: Fourth Edition emphasizes the principles and assumptions underlying the statistical methods, thus providing the tools needed for students to use and interpret statistical data effectively.

chapter 1|8 pages

What is Statistics?

chapter 2|6 pages

Some Statistical Notation

chapter 4|16 pages

Summarizing Data by Numerical Measures

chapter 5|20 pages

Probability

chapter 6|20 pages

Discrete Probability Distributions

chapter 7|14 pages

Continuous Probability Distributions

chapter 8|14 pages

Samples and Populations

chapter 9|24 pages

Confidence Interval Estimation

chapter 10|22 pages

Hypothesis Testing

chapter 11|18 pages

Nonparametric Hypothesis Test

chapter 13|16 pages

Association of Categorical Variables

chapter 14|20 pages

Correlation of Quantitative Variables

chapter 15|20 pages

Regression Analysis, An Introduction

chapter 16|14 pages

Goodness-of-Fit Tests