List price: $153.50
Why are David Moore's statistics books so successful? They have become the books to beat because Moore was the first author to present the teaching of statistics as a useful tool in practice. Unlike traditional statistics books, Moore's texts use real data and walk the student through the process of analyzing that data, as opposed to emphasizing formulas, drill-like exercises, and cookbook mathematics. Thus, for the first time, students learn to think like practicing statisticians and to apply what they learn to their lives.
When Moore and McCabe's Introduction to the Practice of Statistics (IPS) became the #1 book in the market about 5 years ago, statistics instructors realized that a shorter, lower-level, less detailed book based on IPS would also succeed. Hence, David Moore envisioned The Basic Practice of Statistics (BPS)--a text that applies the data analysis approach of IPS but is targeted for a one-term course only. BPS has now become the book to beat, being an ideal match for more schools than any other book in the market.
The second edition of The Basic Practice of Statistics builds on the strengths of the first: a balanced and modern approach to data analysis, data production, and inference; and an emphasis on clear explanations of ideas rather than formal mathematics or reliance on recipes. Moore's use of real world data and examples and his emphasis on statistical thinking show students how statistics can be used as a powerful tool for understanding the world we live in. Designed for students with a limited background in mathematics, The Basic Practice of Statistics 2/e is the ideal way to introduce the core concepts of
statistics to the students of today and tomorrow.
Author Bio
Moore, David S. : Purdue University
Introduction: Statistical Thinking
PART 1. UNDERSTANDING DATA
1. Examining Distributions
Introduction
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers
1.3 The Normal Distributions
1.4 Statistics in Summary
2. Examining Relationships
Introduction
2.1 Scatterplots
2.2 Correlation
2.3 Least-Square Regression
2.4 Causations About Correlation and Regression
2.5 Relations in Categorical Data*
2.6 Statistics in Summary
3. Producing Data
Introduction
3.1 Designing Samples
3.2 Designing Experiments
3.3 Statistics in Summary
PART 2. UNDERSTANDING INFERENCE
4. Probability and Sampling Distributions
Introduction
4.1 Randomness
4.2 Probability Models
4.3 Sampling Distributions
4.4 Control Charts (available on The Basic Practice of Statistics CD-ROM)
4.5 Statistics in Summary
5. Probability Theory*
Introduction
5.1 General Probability Rules
5.2 The Binomial Distributions
5.3 Conditional Probability
5.4 Statistics in Summary
5.5 Control Charts (available on the CD-ROM only)
6. Introduction to Inference
Introduction
6.1 Estimating with Confidence
6.2 Tests of Significance
6.3 Using Significance Tests
6.4 Error Probabilities and Power*
6.5 Statistics in Summary
7. Inference for Distributions
Introduction
7.1 Inference for the Mean of a Population
7.2 Comparing Two Means
7.3 Inference for Population Spread
7.4 Statistics in Summary
8. Inference for Proportions
Introduction
8.1 Inference for a Population Proportion
8.2 Comparing Two Proportions
8.3 Statistics in Summary
PART 3. TOPICS IN INFERENCE
9. Inference for Two-Way Tables
Introduction
Statistics in Summary
10. One-Way Analysis of Variance: Comparing Several Means
Introduction
Statistics in Summary
11. Inference for Regression
Introduction
Statistics in Summary
12. Nonparametric Tests (available on the CD-ROM only)
Notes and Data Sources
Tables
A Standard normal probabilities
B Random digits
C t distribution critical values
D F distribution critical values
E Chi-square distribution critical values
Why are David Moore's statistics books so successful? They have become the books to beat because Moore was the first author to present the teaching of statistics as a useful tool in practice. Unlike traditional statistics books, Moore's texts use real data and walk the student through the process of analyzing that data, as opposed to emphasizing formulas, drill-like exercises, and cookbook mathematics. Thus, for the first time, students learn to think like practicing statisticians and to apply what they learn to their lives.
When Moore and McCabe's Introduction to the Practice of Statistics (IPS) became the #1 book in the market about 5 years ago, statistics instructors realized that a shorter, lower-level, less detailed book based on IPS would also succeed. Hence, David Moore envisioned The Basic Practice of Statistics (BPS)--a text that applies the data analysis approach of IPS but is targeted for a one-term course only. BPS has now become the book to beat, being an ideal match for more schools than any other book in the market.
The second edition of The Basic Practice of Statistics builds on the strengths of the first: a balanced and modern approach to data analysis, data production, and inference; and an emphasis on clear explanations of ideas rather than formal mathematics or reliance on recipes. Moore's use of real world data and examples and his emphasis on statistical thinking show students how statistics can be used as a powerful tool for understanding the world we live in. Designed for students with a limited background in mathematics, The Basic Practice of Statistics 2/e is the ideal way to introduce the core concepts of
statistics to the students of today and tomorrow.
Author Bio
Moore, David S. : Purdue University
Table of Contents
Introduction: Statistical Thinking
PART 1. UNDERSTANDING DATA
1. Examining Distributions
Introduction
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers
1.3 The Normal Distributions
1.4 Statistics in Summary
2. Examining Relationships
Introduction
2.1 Scatterplots
2.2 Correlation
2.3 Least-Square Regression
2.4 Causations About Correlation and Regression
2.5 Relations in Categorical Data*
2.6 Statistics in Summary
3. Producing Data
Introduction
3.1 Designing Samples
3.2 Designing Experiments
3.3 Statistics in Summary
PART 2. UNDERSTANDING INFERENCE
4. Probability and Sampling Distributions
Introduction
4.1 Randomness
4.2 Probability Models
4.3 Sampling Distributions
4.4 Control Charts (available on The Basic Practice of Statistics CD-ROM)
4.5 Statistics in Summary
5. Probability Theory*
Introduction
5.1 General Probability Rules
5.2 The Binomial Distributions
5.3 Conditional Probability
5.4 Statistics in Summary
5.5 Control Charts (available on the CD-ROM only)
6. Introduction to Inference
Introduction
6.1 Estimating with Confidence
6.2 Tests of Significance
6.3 Using Significance Tests
6.4 Error Probabilities and Power*
6.5 Statistics in Summary
7. Inference for Distributions
Introduction
7.1 Inference for the Mean of a Population
7.2 Comparing Two Means
7.3 Inference for Population Spread
7.4 Statistics in Summary
8. Inference for Proportions
Introduction
8.1 Inference for a Population Proportion
8.2 Comparing Two Proportions
8.3 Statistics in Summary
PART 3. TOPICS IN INFERENCE
9. Inference for Two-Way Tables
Introduction
Statistics in Summary
10. One-Way Analysis of Variance: Comparing Several Means
Introduction
Statistics in Summary
11. Inference for Regression
Introduction
Statistics in Summary
12. Nonparametric Tests (available on the CD-ROM only)
Notes and Data Sources
Tables
A Standard normal probabilities
B Random digits
C t distribution critical values
D F distribution critical values
E Chi-square distribution critical values