Essential Statistics, Fourth Edition
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 MINITABTM 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.
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Some Statistical Notation
Summarizing Data by Tables and
Summarizing Data by Numerical Measures
Discrete Probability Distributions
Continuous Probability Distributions
Samples and Populations
Confidence Interval Estimation
Association of Categorical Variables
Correlation of Quantitative Variables
Regression Analysis An Introduction
Appendix A Statistical Formulae
Appendix B Solutions to Worksheets
Glossary of Symbols
Other editions - View all
40 Students A-level count alternative hypothesis ANOVA answer assume assumptions average Bernoulli trial binomial distribution box Choose box Click box Enter BSc students Calc F Calc x2 calculate Chapter Choose Stat Click on OK CN CN CN CN ro column conclusion confidence interval contingency table correlation coefficient data in Table degrees of freedom dotplot Enter C2 equal estimate example F test female students follows Formula Graph height histogram hypothesis test Mann-Whitney median method Minitab for Windows normal distribution null hypothesis obtain output Pearson's percentage Poisson distribution population mean quartile question random sample randomly regression analysis regression line reject H0 reject the null ro CN ro ro ro rows sample data sample mean scatter diagram Section Shapiro-Wilk test sign test significance level skewness Tab F Tab x2 Table C.1 test score test statistic toss two-sided type of degree Variable box variance Wilcoxon signed rank Worksheet zero