Synopses & Reviews
A Better Understanding Through Conceptual Development If youre looking for an engaging approach to statistics, then youll enjoy the clear exposition in this text. Conceptual development and the logic of statistics is stressed throughout with special attention placed on the needs of students. The more difficult concepts are presented in a step-by-step basis to provide a better understanding. All the while, the scope, tone, and accuracy to statistical statements from the first edition are retained. New Features of the Second Edition
- All chapters have been revised to enhance clarity and flow, to simplify numbers in the worked problems, and to align all examples with the behavioral sciences.
- The presentation of probability has been streamlined to focus on the basics needed for understanding statistical inference.
- The discussion of statistical power has been simplified to focus on its meaning and importance, and the factors affecting it.
- Estimation procedures are introduced earlier and are integrated into subsequent chapters.
Synopsis
This carefully paced text presents fundamental material for the first course in statistics without sacrificing clarity or depth of understanding. Relates statistical theory to the realities of research and illustrates concepts with specific examples. Appendixes include a math review and numerous worked problems.
About the Author
About the Authors New co-author Theodore Coladarci is Professor of Educational Psychology at the University of Maine. He has published extensively, including Elementary Descriptive Statistics, which he co-authored with A.P. Coladarci. Edward W. Minium is Professor of Psychology Emeritus at San Jose State University. He is the author of the very successful text Statistical Reasoning in Psychology and Education. Through his work, Minium has gained a highly respected reputation in the field. Robert B. Clarke is also Professor of Psychology Emeritus at San Jose State University. He co-authored Statistical Reasoning and Procedures with A.P. Coladarci and J. Caffrey.
Table of Contents
* Introduction
Part I: Descriptive Statistics
* Frequency Distributions
* Graphic Representation
* Central Tendency
* Variability
* Normal Distributions and Standard Curves
* Correlation
* Regression and Prediction
Part II: Inferential Statistics
* Probability and Probability Distributions
* Sampling Distributions
* Testing Statistical Hypotheses About m When s is Known: The One-Sample z-Test
* Estimation
* Testing Statistical Hypotheses About m When s is Not Known: The One-Sample t-Test
* Comparing the Means of Two Populations: Independent Samples
* Comparing the Means of Dependent Samples
* Inferences About the Pearson Correlation Coefficient
* Statistical "Power" (and How to Increase It)
* Comparing the Means of Three or More Independent Samples: One-Way Analysis of Variance
* Factorial Analysis of Variance: Two-Way ANOVA
* Chi-Square and Frequency Data
* Some (Almost) Assumption-Free Tests
Appendices
* Review of Basic Mathematics
* Answers to Questions and Problems
* Statistical Tables