9780199730063 - Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking de Motulsky, Harvey (12 resultados)

Paperback. Condición: Very Good. 2nd Revised & enlarged. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Condición: Good.

Condición: acceptable. The item is very worn but is perfectly usable. Signs of wear can include aesthetic issues such as scratches, dents, worn and creased covers, folded page corners and minor liquid stains. All pages and the cover are intact, but the dust cover may be missing. Pages may include moderate to heavy amount of notes and highlighting, but the text is not obscured or unreadable. Page edges may have foxing age related spots and browning . May NOT include discs, access code or other supplemental materials.

Condición: good.

Condición: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Paperback. Condición: new. New Copy. Customer Service Guaranteed.

Paperback. Condición: 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.

Paperback. Condición: 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.

Condición: New.

Paperback. Condición: 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.

Condición: New. Print on Demand 1 v (various agings) Illus.