by David S. Moore, Daren Starnes and Dan Yates
List price: $186.75
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Only one textbook gives students a competitive edge for the AP statistics exam by following the College Board guidelines exclusively.
Only one textbook combines the strength of the data analysis approach and the power of technology with supreme classroom finesse.
Only one textbook provides the support you and your students need to achieve maximum performance.
The Practice of Statistics--your AP Statistics textbook.
And now, the overwhelming favorite for the AP Statistics course is available in an even more powerful new edition, building on the qualities that made it an immediate bestseller with a number of new features, integration of the TI-89, and an even stronger set of print and media ancillaries.
Feature :
New to This Edition :
Author Bio
Moore, David S. : Purdue University
Starnes, Daren S. : The Webb Schools
Yates, Dan :
Preface
Statistical Thinking
PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS
1. Exploring Data
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers
New coverage of ogives and linear transformations
New subsection on comparing distributions
Many new examples and exercises using contemporary, real data
Technology Toolbox feature introduced
2. The Normal Distributions
2.1 Density Curves and the Normal Distribution
2.2 Standard Normal Calculations
Revised subsection on normal probability plot
Several technology toolboxes
New exercises
3. Examining Relationships
3.1 Scatterplots
New examples and exercises
Several technology toolboxes
3.2 Correlation
3.3 Least-Squares Regression
Revised sequence of discussion of r2
Computer output for least squares regression is introduced
New exercises
4. More on Two-Variable Data
4.1 Modeling Non-linear Relationships
Revised and expanded discussion of transforming relationships
New exercises
4.2 Interpreting Correlation and Regression
4.3 Relations in Categorical Data
PART II. PRODUCING DATA: SAMPLES AND EXPERIMENTS
5. Producing Data
5.1 Designing Samples
5.2 Designing Experiments
5.3 Simulating Experiments
New examples of simulations
New exercises
PART III PROBABILITY: FOUNDATIONS OF INFERENCE
6. Probability: The Study of Randomness
6.1 Randomness
6.2 Probability Models
6.3 More About Probability
7. Random Variables
7.1 Discrete and Continuous Random Variables
7.2 Means and Variances of Random Variables
Revised treatment of rules for means and variances
New subsection on combining normal random variables
8. The Binomial and Geometric Distributions
8.1 The Binomial Distributions
8.2 The Geometric Distributions
Added derivation of mean and variance of a binomial random variable
Revised and expanded discussion of geometric settings
New exercises.
9. Sampling Distributions
9.1 Sampling Distributions
9.2 Sample Proportions
9.3 Sample Means
Additional simulations involving sampling distributions for proportions and means
Added derivation of mean and standard deviation of the sampling distribution of p
New contexts for examples and exercises
PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE
10. Introduction to Inference
10.1 Estimating with Confidence
10.2 Tests of Significance
10.3 Using Significance Tests
10.4 Inference as a Decision
New chapter opening activity
Introduction of Inference Toolbox
Expanded treatment of Type I, Type II errors and Power
11. Inference for Distributions
11.1 Inference for the Mean of a Population
11.2 Comparing Two Means
Many new examples and exercises designed for use with the Inference Toolbox
Increased emphasis on distinguishing matched-pairs from two-sample procedures
12. Inference for Proportions
12.1 Inference for a Population Proportion
12.2 Comparing Two Proportions
Many new examples and exercises that use the Inference Toolbox
Added derivation of the mean and standard deviation of the sampling distribution of p1 and p2
13. Inference for Tables: Chi-Square Procedures
13.1 Test for Goodness of Fit
13.2 Inference for Two-Way Tables
New separate treatment of tests of association/independence and homogeneity of populations
Many new examples and exercises using the Inference Toolbox
14. Inference for Regression
14.1 Inference about the Model
14.2 Inference About the Prediction
14.3 Checking the Regression Assumptions
Additional, optional, post-exam chapters on the student and instructor's CDs:
15. Analysis of Variance
16. Multiple Linear Regression
17. Logistic Regression
David S. Moore, Daren Starnes and Dan Yates
ISBN13: 978-0716747734Only one textbook gives students a competitive edge for the AP statistics exam by following the College Board guidelines exclusively.
Only one textbook combines the strength of the data analysis approach and the power of technology with supreme classroom finesse.
Only one textbook provides the support you and your students need to achieve maximum performance.
The Practice of Statistics--your AP Statistics textbook.
And now, the overwhelming favorite for the AP Statistics course is available in an even more powerful new edition, building on the qualities that made it an immediate bestseller with a number of new features, integration of the TI-89, and an even stronger set of print and media ancillaries.
Feature :
New to This Edition :
Author Bio
Moore, David S. : Purdue University
Starnes, Daren S. : The Webb Schools
Yates, Dan :
Table of Contents
Preface
Statistical Thinking
PART I. ORGANIZING DATA: LOOKING FOR PATTERNS AND DEPARTURES FROM PATTERNS
1. Exploring Data
1.1 Displaying Distributions with Graphs
1.2 Describing Distributions with Numbers
New coverage of ogives and linear transformations
New subsection on comparing distributions
Many new examples and exercises using contemporary, real data
Technology Toolbox feature introduced
2. The Normal Distributions
2.1 Density Curves and the Normal Distribution
2.2 Standard Normal Calculations
Revised subsection on normal probability plot
Several technology toolboxes
New exercises
3. Examining Relationships
3.1 Scatterplots
New examples and exercises
Several technology toolboxes
3.2 Correlation
3.3 Least-Squares Regression
Revised sequence of discussion of r2
Computer output for least squares regression is introduced
New exercises
4. More on Two-Variable Data
4.1 Modeling Non-linear Relationships
Revised and expanded discussion of transforming relationships
New exercises
4.2 Interpreting Correlation and Regression
4.3 Relations in Categorical Data
PART II. PRODUCING DATA: SAMPLES AND EXPERIMENTS
5. Producing Data
5.1 Designing Samples
5.2 Designing Experiments
5.3 Simulating Experiments
New examples of simulations
New exercises
PART III PROBABILITY: FOUNDATIONS OF INFERENCE
6. Probability: The Study of Randomness
6.1 Randomness
6.2 Probability Models
6.3 More About Probability
7. Random Variables
7.1 Discrete and Continuous Random Variables
7.2 Means and Variances of Random Variables
Revised treatment of rules for means and variances
New subsection on combining normal random variables
8. The Binomial and Geometric Distributions
8.1 The Binomial Distributions
8.2 The Geometric Distributions
Added derivation of mean and variance of a binomial random variable
Revised and expanded discussion of geometric settings
New exercises.
9. Sampling Distributions
9.1 Sampling Distributions
9.2 Sample Proportions
9.3 Sample Means
Additional simulations involving sampling distributions for proportions and means
Added derivation of mean and standard deviation of the sampling distribution of p
New contexts for examples and exercises
PART IV. INFERENCE: CONCLUSIONS WITH CONFIDENCE
10. Introduction to Inference
10.1 Estimating with Confidence
10.2 Tests of Significance
10.3 Using Significance Tests
10.4 Inference as a Decision
New chapter opening activity
Introduction of Inference Toolbox
Expanded treatment of Type I, Type II errors and Power
11. Inference for Distributions
11.1 Inference for the Mean of a Population
11.2 Comparing Two Means
Many new examples and exercises designed for use with the Inference Toolbox
Increased emphasis on distinguishing matched-pairs from two-sample procedures
12. Inference for Proportions
12.1 Inference for a Population Proportion
12.2 Comparing Two Proportions
Many new examples and exercises that use the Inference Toolbox
Added derivation of the mean and standard deviation of the sampling distribution of p1 and p2
13. Inference for Tables: Chi-Square Procedures
13.1 Test for Goodness of Fit
13.2 Inference for Two-Way Tables
New separate treatment of tests of association/independence and homogeneity of populations
Many new examples and exercises using the Inference Toolbox
14. Inference for Regression
14.1 Inference about the Model
14.2 Inference About the Prediction
14.3 Checking the Regression Assumptions
Additional, optional, post-exam chapters on the student and instructor's CDs:
15. Analysis of Variance
16. Multiple Linear Regression
17. Logistic Regression