The Practice of Statistics in the Life Sciences

by Brigitte Baldi, David S. Moore

• ISBN13: 9780716778783
• ISBN10: 0716778785
• Format: Trade Book
• Copyright: 2008-01-10
• Publisher: W. H. Freeman

Summary

Over the past two decades, David Moore's texts helped drive the evolution of statistics education from a focus on computation and formulas to an emphasis on how data are actually collected, analyzed, and interpreted by professionals in real-world settings. Now Brigitte Baldi and David Moore have produced a version of Moore's bestselling brief introductory text,The Basic Practice of Statisticsfor students in the life sciences.With its focus on life science data sets, examples, and exercises,The Practice of Statistics in the Life Sciences(PSLS) features the writing style and helpful pedagogy that have helped hundreds of thousands of students see the meaning and relevance of real-world statistics in action. Life science, nursing and allied health students with limited mathematical backgrounds will be able to utilize the same fundamental tools, techniques, and interpretive skills working statisticians rely on everyday. Examples and exercises are drawn from diverse areas of biology such as physiology, brain and behavior, health and medicine, nutrition, ecology, and microbiology.

Table of Contents

PART I EXPLORING DATA Exploring Data: Variables and Distributions Picturing Distributions with Graphs Describing Distributions with Numbers Exploring Data: Relationships Scatterplots and Correlation Regression Two-Way Tables Exploring Data: Part I Review PART II FROM EXPLORATION TO INFERENCE Producing Data Samples and Observational Studies Designing Experiments Probability and Sampling Distributions Introducing Probability General Rules of Probability Normal Distributions Discrete Probability Distributions Sampling Distributions The Idea of Inference Introduction to Inference Inference in Practice From Exploration to Inference: Part II Review PART III STATISTICAL INFERENCE Inference about Variables Inference about a Population Mean Two-Sample Problems Inference about a Population Proportion Comparing Two Proportions The Chi-Square Test for Goodness of Fit Inference about Relationships The Chi-Square Test for Two-Way Tables Inference for Regression One-Way Analysis of Variance Statistical Inference: Part III Review And available on the PSLS CD and online: PART IV OPTIONAL COMPANION CHAPTERS Two-Way Analysis of Variance and Follow-up Tests Nonparametric Tests