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This text provides a through, straightforward first course on basics statistics. Emphasizing the application of theory, it contains 200 fully worked examples and supplies exercises in each chapter-complete with hints and answers.
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.
A firm understanding of the basic statistical methods used in current medical literature is now essential for medical practice, as research papers have become increasingly statistical in nature. This book has a unique, case-study approach, starting with six actual research papers showing which statistical methods were used and how the results were obtained. It will enable the medical professional to understand the methods in an easy and accessible way.
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.
This is an introductory text book for students taking statistics as a subsidiary to one of the sciences. The emphasis is on the concepts and assumptions underlying the various statistical methods used to analyze data gathered in surveys and experiments. The author has kept complex mathematical theory and notation to a minimum. Fully explained worked examples using "people" data from a variety of fields allows the student to see how statistics are used. Worksheets at the end of each chapter can then be used to test understanding. The main feature of this new edition is a substantial addition on applications of the interactive statistical computer package, Minitab. This package has become widely used in colleges as an aid to teaching statistics. The new chapter contains over 20 example programs illustrating how Minitab can be used to draw graphs, calculate statistics, carry out tests and perform simulations. The chapter could act as a primer for first-time Minitab users. Another change is that the conditions for the use of the normal approximation to the binomial have been brought into line with accepted practice.
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