Dowdy S., Weardon S., Chilko D. Statistics for research

2nd ed. — Wiley, 2004. — 634 p. — (Wiley series in probability and statistics). — ISBN: 047126735X, 9780471267355Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."-The UMAP Journal Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it possible for today's statisticians to do more in less time than ever before. The Third Edition of this bestselling text reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. Based on extensive input from university statistics departments throughout the country, the authors have made several important and timely revisions, including:* Additional material on probability appears early in the text* New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression* New examples and exercises, many from the field of the health sciences* Printouts of computer analyses on all complex procedures* An accompanying Web site illustrating how to use SAS(r) and JMP(r) for all procedures The text features the most commonly used statistical techniques for the analysis of research data. As in the earlier editions, emphasis is placed on how to select the proper statistical procedure and how to interpret results. Whenever possible, to avoid using the computer as a "black box" that performs a mysterious process on the data, actual computational procedures are also given. A must for scientists who analyze data, professionals and researchers who need a self-teaching text, and graduate students in statistical methods, Statistics for Research, Third Edition brings the methodology up to date in a very practical and accessible way.The Role of Statistics
The Basic Statistical Procedure
The Scientific Method
Experimental Data and Survey Data
Computer Usage
Review Exercises
Selected Readings
Populations, Samples, and Probability Distributions
Populations and Samples
Random Sampling
Levels of Measurement
Random Variables and Probability Distributions
Expected Value and Variance of a Probability Distribution
Review Exercises
Selected Readings
Binomial Distributions
The Nature of Binomial Distributions
Testing Hypotheses
Estimation
Nonparametric Statistics: Median Test
Review Exercises
Selected Readings
Poisson Distributions
The Nature of Poisson Distributions
Testing Hypotheses
Estimation
Poisson Distributions and Binomial Distributions
Review Exercises
Selected Readings
Chi-Square Distributions
The Nature of Chi-Square Distributions
Goodness-of-Fit Tests
Contingency Table Analysis
Relative Risks and Odds Ratios
Nonparametric Statistics: Median Test for Several Samples
Review Exercises
Selected Readings
Sampling Distribution of Averages
Population Mean and Sample Average
Population Variance and Sample Variance
The Mean and Variance of the Sampling Distribution of Averages
Sampling Without Replacement
Review Exercises
Normal Distributions
The Standard Normal Distribution
Inference From a Single Observation
The Central Limit Theorem
Inferences About a Population Mean and Variance
Using a Normal Distribution to Approximate Other Distributions
Nonparametric Statistics: A Test Based on Ranks
Review Exercises
Selected Readings
Student’s t Distribution
The Nature of t Distributions
Inference About a Single Mean
Inference About Two Means
Inference About Two Variances
Nonparametric Statistics: Matched-Pair and Two-Sample Rank Tests
Review Exercises
Selected Readings
Distributions of Two Variables
Simple Linear Regression
Model Testing
Inferences Related to Regression
Correlation
Nonparametric Statistics: Rank Correlation
Computer Usage
Estimating Only One Linear Trend Parameter
Review Exercises
Selected Readings
Techniques for One-way Analysis of Variance
The Additive Model
One-Way Analysis-of-Variance Procedure
Multiple-Comparison Procedures
One-Degree-of-Freedom Comparisons
Estimation
Bonferroni Procedures
Nonparametric Statistics: Kruskal–Wallis ANOVA for Ranks
Review Exercises
Selected Readings
The Analysis-of-Variance Model
Random Effects and Fixed Effects
Testing the Assumptions for ANOVA
Transformations
Review Exercises
Selected Readings
Other Analysis-of-Variance Designs
Nested Design
Randomized Complete Block Design
Latin Square Design
a × b Factorial Design
a × b × c Factorial Design
Split-Plot Design
Split Plot with Repeated Measures
Review Exercises
Selected Readings
Analysis of Covariance
Combining Regression with ANOVA
One-Way Analysis of Covariance
Testing the Assumptions for Analysis of Covariance
Multiple-Comparison Procedures
Review Exercises
Selected Readings
Multiple Regression and Correlation
Matrix Procedures
ANOVA Procedures for Multiple Regression and Correlation
Inferences About Effects of Independent Variables
Computer Usage
Model Fitting
Logarithmic Transformations
Polynomial Regression
Logistic Regression
Review Exercises
Selected Readings
Appendix of Useful Tables
Answers to Most Odd-Numbered Exercises and All Review Exercises