Statistical methods in practice : for scientists and technologists /
This book presents a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, including descriptive statistics (e.g. mean, median, standard deviation), inference (confidence intervals), significance testing for one mean, two means, two standard de...
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| Format: | Book |
| Language: | English |
| Published: |
Chichester, U.K. :
John Wiley & Sons,
2009.
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| Online Access: | Publisher description Table of contents only Contributor biographical information |
| Summary: | This book presents a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, including descriptive statistics (e.g. mean, median, standard deviation), inference (confidence intervals), significance testing for one mean, two means, two standard deviations, distributions (Normal, Binomial, Poisson), exploratory data analysis (box plots), nonparametric methods, regression and correlation, cusum charts for plotting data over time and detecting changes. A hands-on, practical approach to statistics for those with little background in the subject. Introduces a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, presented from descriptive statistics to nonparametric methods. Includes a supporting website, providing software to aid tutorials. Based on practical courses given to scientists and technologists of all levels. Combines realistic case studies and examples with a practical approach to statistical analysis. |
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| Physical Description: | xii, 236 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780470746646 0470746645 |