Synopsis
Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.
NEW TO THIS EDITION:
* Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor.
* Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books.
* Chapter 21 contrasts testing for equivalence with testing for differences.
* Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons.
* Chapters 24 and 25 review testing for normality and outliers.
* Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.
* Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression.
* Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes.
* Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48.
* New "Q and A" sections throughout the book review key concepts.
"synopsis" may belong to another edition of this title.
About the Author
Previously held faculty position in the Department of Pharmacology at the University of California San Diego. Currently, founder of GraphPad Software, Inc.
"About this title" may belong to another edition of this title.
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Intuitive Biostatistics: a Nonmathematical Guide to Statistical Thinking, 2nd Revised Edition
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Paperback. Condition: new. Paperback. Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. NEW TO THIS EDITION: * Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. * Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. * Chapter 21 contrasts testing for equivalence with testing for differences. * Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. * Chapters 24 and 25 review testing for normality and outliers. * Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.* Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. * Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. * Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. * New "Q and A" sections throughout the book review key concepts. Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. NEW TO THIS EDITION: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor.Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books.Chapter 21 contrasts testing for equivalence with testing for differences.Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons.Chapters 24 and 25 review testing for normality and outliers.Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression.Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes.Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48.New "Q and A" sections throughout the book review key concepts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780199730063
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Intuitive Biostatistics (Paperback)
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ISBN 10: 0199730067
ISBN 13: 9780199730063
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Paperback. Condition: new. Paperback. Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. NEW TO THIS EDITION: * Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. * Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. * Chapter 21 contrasts testing for equivalence with testing for differences. * Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. * Chapters 24 and 25 review testing for normality and outliers. * Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.* Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. * Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. * Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. * New "Q and A" sections throughout the book review key concepts. Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. NEW TO THIS EDITION: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor.Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books.Chapter 21 contrasts testing for equivalence with testing for differences.Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons.Chapters 24 and 25 review testing for normality and outliers.Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression.Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes.Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48.New "Q and A" sections throughout the book review key concepts. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780199730063
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Intuitive Biostatistics (Paperback)
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ISBN 10: 0199730067
ISBN 13: 9780199730063
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Paperback. Condition: new. Paperback. Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. NEW TO THIS EDITION: * Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. * Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. * Chapter 21 contrasts testing for equivalence with testing for differences. * Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. * Chapters 24 and 25 review testing for normality and outliers. * Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.* Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. * Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. * Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. * New "Q and A" sections throughout the book review key concepts. Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. NEW TO THIS EDITION: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor.Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books.Chapter 21 contrasts testing for equivalence with testing for differences.Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons.Chapters 24 and 25 review testing for normality and outliers.Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression.Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes.Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48.New "Q and A" sections throughout the book review key concepts. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780199730063