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.
Preface. What is Statistics? Some Statistical Notation. Summarizing Data by Tables and by Graphical Methods. Summarizing Data by Numerical Measures. Probability. Discrete Probability Distributions. Continuous Probability Distributions. Samples and Populations. Confidence Interval Estimation. Hypothesis Testing. Nonparametric Hypothesis Tests. An Introduction to the. Analysis of Variance (ANOVA). Association of Categorical Variables. Correlation of Quantitative Variables. Regression Analysis, an Introduction. Goodness-of-Fit Tests. Appendices. Index.
