by David S. Moore and George P. McCabe
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With its focus on data analysis, statistical reasoning, and the way statisticians actually work, Introduction to the Practice of Statistics (IPS) helped revolutionize the general statistics classroom. Freed from an overload of computations, students were able to go beyond the raw numbers to see what the data actually meant. In the years since, the IPS data analysis approach has gone from an attractive alternative to the method of choice for most instructors.
But the revolution doesn't stop there. Now Introduction to the Practice of Statistics is available now in a spectacular new edition.
Features :
New to this Edition :
Author Bio
Moore, David S. : Purdue University
McCabe, George P. : Purdue University
* These sections contain optional material
Preface
What Is Statistics?
PART 1. DATA
1. LOOKING AT DATA--DISTRIBUTIONS
Introduction
Displaying Distribution with Graphs
Describing Distributions with Numbers
The Normal Distributions
More coverage on outliers and new coverage of the 1.5 IQR criterion for detecting possible outliers
2. LOOKING AT DATA--RELATIONSHIPS
Introduction
Scatterplots
Correlation
Least-Squares Regression
Cautions About Regression and Correlation
The Question of Causation
Transforming Relationships* NEW!
New Beyond the Basics section on Data Mining, discussion of data analysis for categorical variables now integrated with inference material in Chapter 9, and an entirely new (optional) section on transformations
3. PRODUCING DATA
Introduction
First Steps
Design of Experiments
Sampling Design
Toward Statistical Inference
New coverage on sampling from large populations
PART II. PROBABILITY AND INFERENCE
4. PROBABILITY: THE STUDY OF RANDOMNESS
Randomness
Probability Models
Random Variables
Means and Variance of Random Variables
More About Probability*
New material on the mean and variance of sums of correlated random variables; also new clusters of exercises exploring a single application
5. FROM PROBABILITY TO INFERENCE
Sampling Distributions for Counts and Proportions
The Sampling Distribution of a Sample Mean
Control Charts*
6. INTRODUCTION TO INFERENCE
Estimating With Confidence
Tests of Significance
Use and Abuse of Tests
Power and Inference as a Decision*
7. INFERENCE FOR DISTRIBUTIONS
Inference for the Mean of a Population
Comparing Two Means
Optional Topics in Comparing Distributions*
New coverage on inference for nonnormal populations and software approximation for the degrees of freedom (both optional)
8. INFERENCE FOR PROPORTIONS
Inference for a Single Proportion
Comparing Two Proportions
PART III. TOPICS ON INFERENCE
9. INFERENCE FOR TWO-WAY TABLES
Data Analysis for Two-Way Tables NEW!
Inference for Two-Way Tables
Formulas and Models for Two-Way Tables*
Entirely new section on data analysis for two-way tables and new coverage of goodness of fit tests
10. INFERENCE FOR REGRESSION
Simple Linear Regression
More Detail About Simple Linear Regression*
Reorganized sections to present essential material
11. MULTIPLE REGRESSION
New discussion of data analysis for multiple regression
12. ONE-WAY ANALYSIS OF VARIANCE
New discussion of data analysis for one-way analysis of variance
13. TWO-WAY ANALYSIS OF VARIANCE
New discussion of data analysis for two-way analysis of variance
Data Appendix
AVAILABLE ON THE IPS WEB SITE OR AS A SEPARATE PRINTED SUPPLEMENT
14. NONPARAMETRIC TESTS
Introduction
The Wilcoxon Rank Sum Test
The Wilcoxon Signed Rank Test
The Kruskal-Wallis Test
15. LOGISTIC REGRESSION
David S. Moore and George P. McCabe
ISBN13: 978-0716796572With its focus on data analysis, statistical reasoning, and the way statisticians actually work, Introduction to the Practice of Statistics (IPS) helped revolutionize the general statistics classroom. Freed from an overload of computations, students were able to go beyond the raw numbers to see what the data actually meant. In the years since, the IPS data analysis approach has gone from an attractive alternative to the method of choice for most instructors.
But the revolution doesn't stop there. Now Introduction to the Practice of Statistics is available now in a spectacular new edition.
Features :
New to this Edition :
Author Bio
Moore, David S. : Purdue University
McCabe, George P. : Purdue University
Table of Contents
* These sections contain optional material
Preface
What Is Statistics?
PART 1. DATA
1. LOOKING AT DATA--DISTRIBUTIONS
Introduction
Displaying Distribution with Graphs
Describing Distributions with Numbers
The Normal Distributions
More coverage on outliers and new coverage of the 1.5 IQR criterion for detecting possible outliers
2. LOOKING AT DATA--RELATIONSHIPS
Introduction
Scatterplots
Correlation
Least-Squares Regression
Cautions About Regression and Correlation
The Question of Causation
Transforming Relationships* NEW!
New Beyond the Basics section on Data Mining, discussion of data analysis for categorical variables now integrated with inference material in Chapter 9, and an entirely new (optional) section on transformations
3. PRODUCING DATA
Introduction
First Steps
Design of Experiments
Sampling Design
Toward Statistical Inference
New coverage on sampling from large populations
PART II. PROBABILITY AND INFERENCE
4. PROBABILITY: THE STUDY OF RANDOMNESS
Randomness
Probability Models
Random Variables
Means and Variance of Random Variables
More About Probability*
New material on the mean and variance of sums of correlated random variables; also new clusters of exercises exploring a single application
5. FROM PROBABILITY TO INFERENCE
Sampling Distributions for Counts and Proportions
The Sampling Distribution of a Sample Mean
Control Charts*
6. INTRODUCTION TO INFERENCE
Estimating With Confidence
Tests of Significance
Use and Abuse of Tests
Power and Inference as a Decision*
7. INFERENCE FOR DISTRIBUTIONS
Inference for the Mean of a Population
Comparing Two Means
Optional Topics in Comparing Distributions*
New coverage on inference for nonnormal populations and software approximation for the degrees of freedom (both optional)
8. INFERENCE FOR PROPORTIONS
Inference for a Single Proportion
Comparing Two Proportions
PART III. TOPICS ON INFERENCE
9. INFERENCE FOR TWO-WAY TABLES
Data Analysis for Two-Way Tables NEW!
Inference for Two-Way Tables
Formulas and Models for Two-Way Tables*
Entirely new section on data analysis for two-way tables and new coverage of goodness of fit tests
10. INFERENCE FOR REGRESSION
Simple Linear Regression
More Detail About Simple Linear Regression*
Reorganized sections to present essential material
11. MULTIPLE REGRESSION
New discussion of data analysis for multiple regression
12. ONE-WAY ANALYSIS OF VARIANCE
New discussion of data analysis for one-way analysis of variance
13. TWO-WAY ANALYSIS OF VARIANCE
New discussion of data analysis for two-way analysis of variance
Data Appendix
AVAILABLE ON THE IPS WEB SITE OR AS A SEPARATE PRINTED SUPPLEMENT
14. NONPARAMETRIC TESTS
Introduction
The Wilcoxon Rank Sum Test
The Wilcoxon Signed Rank Test
The Kruskal-Wallis Test
15. LOGISTIC REGRESSION