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Disponibilidad: En existencia
ISBN: 9781292101828
Precio sin IVA:
$ 132.300,00

Edición: 5
Copyright: 2016
Páginas: 632

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Statistics for the Life Sciences: Global Edition (ebook)


By Myra L. Samuels, Jeffrey A. Witmer, Andrew Schaffner

Descripción:

The 5th Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorising formulas makes the text ideal for students studying a variety of scientific fields: animal science, agronomy, biology, forestry, health, medicine, nutrition, pharmacy, physical education, zoology and more. In the 5th Edition, randomisation tests have been moved to the fore to motivate the inference procedures introduced in the text. There are no prerequisites for the text except elementary algebra.   The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. For introductory undergraduate or graduate courses in statistics aimed at life science majors.  




Contenido:
1 Introduction
2 Description of Samples and Populations
3 Probability and the Binomial Distribution
4 The Normal Distribution
5 Sampling Distributions
6 Confidence Intervals
7 Comparison of Two Independent Samples
8 Comparison of Paired Samples
9 Categorical Data: One-Sample Distributions
10 Categorical Data: Relationships
11 Comparing the Means of Many Independent Samples
12 Linear Regression and Correlation
13 A Summary of Inference Methods