
Statistical Methods
- 4th Edition - April 16, 2021
- Imprint: Academic Press
- Authors: Donna L. Mohr, William J. Wilson, Rudolf J. Freund
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 0 4 3 - 5
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 9 9 8 8 - 8
Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathem… Read more

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Request a sales quoteStatistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By providing an overview of statistical reasoning, this text equips readers with the insight needed to summarize data, recognize good experimental designs, implement appropriate analyses, and arrive at sound interpretations of statistical results.
- Includes extensive case studies and exercises drawn from a variety of disciplines
- Provides practice problems for each chapter with complete solutions
- Offers new and updated data sets available online
- Includes recommended data analysis projects with accompanying data sets
Students at the advanced undergraduate / early graduate level. Researchers/Professionals
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Guiding Principles
- New to this Edition
- Using this Book
- Acknowledgments
- Chapter 1. Data and Statistics
- 1.1 Introduction
- 1.2 Observations and Variables
- 1.3 Types of Measurements for Variables
- 1.4 Distributions
- 1.5 Numerical Descriptive Statistics
- 1.6 Exploratory Data Analysis
- 1.7 Bivariate Data
- 1.8 Populations, Samples, and Statistical Inference — A Preview
- 1.9 Data Collection
- 1.10 Chapter Summary
- Summary
- 1.11 Chapter Exercises
- Chapter 2. Probability and Sampling Distributions
- 2.1 Introduction
- 2.2 Probability
- 2.3 Discrete Probability Distributions
- 2.4 Continuous Probability Distributions
- 2.5 Sampling Distributions
- 2.6 Other Sampling Distributions
- 2.7 Chapter Summary
- 2.8 Chapter Exercises
- Chapter 3. Principles of Inference
- 3.1 Introduction
- 3.2 Hypothesis Testing
- 3.3 Estimation
- 3.4 Sample Size
- 3.5 Assumptions
- 3.6 Chapter Summary
- 3.7 Chapter Exercises
- Exercises
- Chapter 4. Inferences on a Single Population
- 4.1 Introduction
- 4.2 Inferences on the Population Mean
- 4.3 Inferences on a Proportion for Large Samples
- 4.4 Inferences on the Variance of One Population
- 4.5 Assumptions
- 4.6 Chapter Summary
- 4.7 Chapter Exercises
- Chapter 5. Inferences for Two Populations
- 5.1 Introduction
- 5.2 Inferences on the Difference between Means Using Independent Samples
- 5.3 Inferences on Variances
- 5.4 Inferences on Means for Dependent Samples
- 5.5 Inferences on Proportions for Large Samples
- 5.6 Assumptions and Remedial Methods
- 5.7 Chapter Summary
- 5.8 Chapter Exercises
- Chapter 6. Inferences for Two or More Means
- 6.1 Introduction
- 6.2 The Analysis of Variance
- 6.3 The Linear Model
- 6.4 Assumptions
- 6.5 Specific Comparisons
- 6.6 Random Models
- 6.7 Analysis of Means
- 6.8 Chapter Summary
- 6.9 Chapter Exercises
- Projects
- Chapter 7. Linear Regression
- 7.1 Introduction
- 7.2 The Regression Model
- 7.3 Estimation of Parameters β0 and β1
- 7.4 Estimation of σ2 and the Partitioning of Sums of Squares
- 7.5 Inferences for Regression
- 7.6 Using Statistical Software
- 7.7 Correlation
- 7.8 Regression Diagnostics
- 7.9 Chapter Summary
- 7.10 Chapter Exercises
- Chapter 8. Multiple Regression
- 8.1 The Multiple Regression Model
- 8.2 Estimation of Coefficients
- 8.3 Inferential Procedures
- 8.4 Correlations
- 8.5 Using Statistical Software
- 8.6 Special Models
- 8.7 Multicollinearity
- 8.8 Variable Selection
- 8.9 Detection of Outliers, Row Diagnostics
- 8.10 Chapter Summary
- 8.11 Chapter Exercises
- Chapter 9. Factorial Experiments
- 9.1 Introduction
- 9.2 Concepts and Definitions
- 9.3 The Two-Factor Factorial Experiment
- 9.4 Specific Comparisons
- 9.5 Quantitative Factors
- 9.6 No Replications
- 9.7 Three or More Factors
- 9.8 Chapter Summary
- 9.9 Chapter Exercises
- Chapter 10. Design of Experiments
- 10.1 Introduction
- 10.2 The Randomized Block Design
- 10.3 Randomized Blocks with Sampling
- 10.4 Other Designs
- 10.5 Repeated Measures Designs
- 10.6 Chapter Summary
- 10.7 Chapter Exercises
- Chapter 11. Other Linear Models
- 11.1 Introduction
- 11.2 The Dummy Variable Model
- 11.3 Unbalanced Data
- 11.4 Statistical Software’s Implementation of the Dummy Variable Model
- 11.5 Models with Dummy and Interval Variables
- 11.6 Extensions to Other Models
- 11.7 Estimating Linear Combinations of Regression Parameters
- 11.8 Weighted Least Squares
- 11.9 Correlated Errors
- 11.10 Chapter Summary
- 11.11 Chapter Exercises
- Chapter 12. Categorical Data
- 12.1 Introduction
- 12.2 Hypothesis Tests for a Multinomial Population
- 12.3 Goodness of Fit Using the χ2 Test
- 12.4 Contingency Tables
- 12.5 Specific Comparisons in Contingency Tables
- 12.6 Chapter Summary
- 12.7 Chapter Exercises
- Chapter 13. Special Types of Regression
- 13.1 Introduction
- 13.2 Logistic Regression
- 13.3 Poisson Regression
- 13.4 Nonlinear Least-Squares Regression
- 13.5 Chapter Summary
- 13.6 Chapter Exercises
- Chapter 14. Nonparametric Methods
- 14.1 Introduction
- 14.2 One Sample
- 14.3 Two Independent Samples
- 14.4 More Than Two Samples
- 14.5 Randomized Block Design
- 14.6 Rank Correlation
- 14.7 The Bootstrap
- 14.8 Chapter Summary
- 14.9 Chapter Exercises
- Appendix A. Tables of Distributions
- Appendix B
- Appendix B. A Brief Introduction to Matrices
- B.1 Matrix Algebra
- B.2 Solving Linear Equations
- Appendix C. Descriptions of Data Sets
- C.1 Florida Lake Data
- C.2 State Education Data
- C.3 National Atmospheric Deposition Program (NADP) Data
- C.4 Florida County Data
- C.5 Cowpea Data
- C.6 Jax House Prices Data
- C.7 Gainesville, FL, Weather Data
- C.8 General Social Survey (GSS) 2016 Data
- Hints for Selected Exercises
- Chapter 1
- Chapter 2
- Chapter 3
- Chapter 4
- Chapter 5
- Chapter 6
- Chapter 7
- Chapter 8
- Chapter 9
- Chapter 10
- Chapter 11
- Chapter 12
- Chapter 13
- Chapter 14
- References
- Index
- Edition: 4
- Published: April 16, 2021
- No. of pages (Paperback): 784
- No. of pages (eBook): 784
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128230435
- eBook ISBN: 9780323899888
DM
Donna L. Mohr
Donna Mohr is a Professor Emeritus of Statistics at the University of North Florida, where she was a colleague of William Wilson. She is an author on 20 scholarly articles on theoretical statistics and its applications. During her decades of teaching statistics, she used both the first and second editions of Freund and Wilson’s Statistical Methods, before joining as a co-author in the third edition.
Affiliations and expertise
Professor Emeritus of Statistics, University of North Florida, FL, USAWW
William J. Wilson
William J. Wilson works at University of North Florida in Jacksonville, FL, USA.
Affiliations and expertise
University of North Florida, Jacksonville, FL, USARF
Rudolf J. Freund
Rudolf J. Freund works at Texas A&M University in the USA.
Affiliations and expertise
Texas A&M University, USARead Statistical Methods on ScienceDirect