Statistics / Edition 10

by Robert S. Witte

Overview

New edition of a text in which Robert S. Witte (San Jose U.) and John S. Witte (Case Western Reserve U.) present a simple overview of descriptive and inferential statistics. Written with the intent to help students gain the confidence needed to use statistics in their everyday lives, the 26 chapters cover introductory material (definition of statistics, and two types of data and variables), organizing and summarizing data, and generalizing beyond data. Each chapter contains outlines, summaries, key terms, marginal definitions, and real-life exercises.

Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:	2901118450535
Publisher:	Wiley
Publication date:	11/11/2013
Edition description:	Older Edition
Pages:	576
Product dimensions:	9.10(w) x 7.40(h) x 0.90(d)

About the Author

Robert Witte earned his Ph.D. at Stanford University. He is an Emeritus Professor of Psychology at San Jose State University, where he taught courses in statistics for more than three decades. He has had a number of publications in peer-reviewed journals, as well as a number of nationally-competitive research grants and a post-doctoral Research Fellowship at Indiana University.  

John Witte is Professor of Epidemiology and Biostatistics at the University of California, San Francisco.  He received his PhD from the University of California, Los Angeles, and was previously on the faculty at the University of Southern California and Case Western Reserve University. He has published over 150 papers, and his research is primarily focused on statistical genetics and the genetic epidemiology of cancer. 

Table of Contents

Preface
Introduction
PART I. DESCRIPTIVE STATISTICS: ORGANIZING AND SUMMARIZING DATA
Describing Data with Tables: Frequency Distribution for Quantitative Data
Describing Data with Graphs: Graphs for Quantitative Data
Describing Data with Averages: Averages for Quantitative Data
Describing Variability: Quantitative Measures of Variability
Normal Distributions (I): Basics
Normal Distributions (II): Applications Finding Proportions
More About z Scores
Describing Relationships: Correlation
Regression
More About Correlation and Regression
PART II: INFERENTIAL STATISTICS: GENERALIZING BEYOND DATA
Populations and Samples
Probability
Sampling Distribution of the Mean,
Introduction to Hypothesis Testing : the z Test
More About Hypothesis Testing
Controlling Type I and Type II Errors
Estimation
t Test for One Sample
t Test for Two Independent Samples
t Test for Two Related Samples (Repeated Measures)
Beyond Hypothesis Test: p-Values and Effect Size
Analysis of Variance (One Factor)
Beyond the F Test
Analysis of Variance (Repeated Measures)
Analysis of Variance (Two Factors)
Chi-Square (X2) Test for Qualitative Data
Tests for Ranked Data
Postscript: Which Test?
Appendix A. Math Review
Appendix B. Levels of Measurement
Appendix C. Answers to Selected Exercises
Appendix D. Tables
Appendix E. Glossary
Appendix F. Formulas
Index

Editorial Reviews

Third edition of a standard textbook. Provides a basic overview of descriptive and inferential statistics for mathematically unsophisticated students in the behavioral, social, and health sciences. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews