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The Practice of Statistics in the Life Sciences

The Practice of Statistics in the Life Sciences


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About the Book

This text brings a student-friendly style to the often-tricky subject of statistics. The emphasis on real data and statistical thinking illuminates the theory behing quantitative analysis in a life sciences context. The examples and exercises are drawn from diverse areas of biology, including physiology, brain and behavior, epidemiology, health and medicine, nutrition, ecology, and microbiology. This keeps the subject interesting and relevant to a wide range of disciplines. A four-step problem-solving process (State, Formulate, Solve, Conclude) guides student work on realistic statistical problems. The process is used as appropriate and most often as students gain the tools needed to handle real-world problems. In addition, Caution Notes warn students of possible pitfalls they can encounter when analyzing data. The new edition features hundreds of new exercises and examples, added emphasis on working with large data sets, updated technology coverage, and and an expanded media/supplements package. Technology is emphasized throughout the text and always presented in a student-friendly format. o CrunchIt! Software Output Screens. In addition to Minitab, TI graphing calculators, Excel, and SPSS, the Using Technology sections now include CrunchIt!, a student-friendly statistical software package. A CrunchIt! access code is provided with each new textbook or access can be purchased online. o Applets. Available on the companion Web site and CD, and marked throughout the text, these interactive applets help students learn important concepts such as regression, central limit theorem, and more.

Table of Contents:
PART I: EXPLORING DATA 1 Exploring Data: Variables and Distributions Picturing Distributions with Graphs Describing Distributions with Numbers Exploring Data: Relationships Scatterplots and Correlation Regression Two-Way Tables 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 The Normal Distributions Discrete Probability Distributions Sampling Distributions The Idea of Inference Introduction to Inference Inference in Practice Part II Review PART III: STATISTICAL INFERENCE Inference about Variables Inference about a Population Mean Comparing Two Means 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: Comparing Several Means Part III Review PART IV: OPTIONAL COMPANION CHAPTERS (available on the PSLS2e CD and online) More about Analysis of Variance: Follow-up Tests and Two-Way ANOVA Nonparametric Tests Multiple Regression

About the Author :
BRIGITTE BALDI is a Lecturer at University of California, USA. DAVID S. MOORE is a Lecturer at Purdue University, USA.


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Product Details
  • ISBN-13: 9781429252355
  • Publisher: MacMillan Learning
  • Publisher Imprint: W.H.Freeman & Co Ltd
  • Binding: SA
  • Height: 263 mm
  • Language: English
  • Returnable: N
  • Spine Width: 29 mm
  • Weight: 1571 gr
  • Width: 223 mm
  • ISBN-10: 1429252359
  • Publisher Date: 01 Jul 2011
  • Binding: SA
  • Edition: Revised edition
  • Height: 263 mm
  • Language: English
  • Returnable: N
  • Spine Width: 29 mm
  • Weight: 1571 gr
  • Width: 223 mm


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