An introductory textbook for students taking statistics as a subsidiary to one of the sciences (either natural, social, medical, or applied), Essential Statistics: Third Edition thoroughly updates and enhances the successful second edition. Essential material is covered in an easy-to-follow style. An emphasis is placed upon the concepts and assumptions underlying the various statistical methods to analyze data gathered in surveys and experiments. Keeping complex mathematical theory to a minimum, Rees presents a wealth of fully explained worked examples, using 'people data' from a variety of fields-allowing the student a clear view of the use of statistics. Worksheets at the end of each chapter can then be used to check understanding. For the Third Edition , MINITAB applications have been included within each chapter as they arise-rather than as an appendix. New sections examine Venn diagrams; the F test for the equality of two variances; the Fisher exact test; the x2 Trend test; and the Shapiro Wilk test for normality.
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An introductory textbook for students taking statistics as a subsidiary to one of the sciences (either natural, social, medical, or applied), Essential Statistics: Third Edition thoroughly updates and enhances the successful second edition.
Essential material is covered in an easy-to-follow style. An emphasis is placed upon the concepts and assumptions underlying the various statistical methods to analyze data gathered in surveys and experiments.
Keeping complex mathematical theory to a minimum, Rees presents a wealth of fully explained worked examples, using 'people data' from a variety of fields-allowing the student a clear view of the use of statistics. Worksheets at the end of each chapter can then be used to check understanding.
For the Third Edition , MINITAB applications have been included within each chapter as they arise-rather than as an appendix. New sections examine Venn diagrams; the F test for the equality of two variances; the Fisher exact test; the x2 Trend test; and the Shapiro Wilk test for normality.
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