Summary: 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, t...show morehe 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 :
Essential AP content, including with strong treatment non-linear regression, probability as a tool of statistical inference, and additional coverage of geometric distributions and goodness of fit.
Clear, concise explanations of statistical techniques and principles.
Interesting examples and exercises, illustrating how statistics is used in a variety of fields.
Activities that promote statistical thinking at the beginning of each chapter.
Simulations which lay the groundwork for discovering underlying concepts, helping students to easily understand the material.
TI-83 graphing calculator integrated throughout, with step-by-step keyboarding instructions and many sample screen outputs are provided.
New to This Edition :
New Co-author--Daren Starnes, longtime AP Statistics teacher, exam reader, and technology guru.
TI-89 graphing calculator integration.Now, since a significant number of high schools are using TI-89's, The Practice of Statistics, Second Edition integrates both calculators equally with side-by-side screen shots and keystrokes.
New Features in Every Chapter:
"Technology Toolbox" shows students how to use the statistical capabilities of the TI-83 and TI-89 graphing calculators, and provides tips for interpreting standard computer output.
"Inference Toolbox" walks students through inference problems in short bites, adding more structure to complicated inference procedures. These begin appearing in chapter 10 where inference is first discussed.
Increase number of examples and exercises, with more real data and source references.
Highlighted application titles (in color at the beginning of each exercise) emphasize the variety and abundance of real-life applications.
Historical Vignettes, at the beginning of each chapter, provide interesting contexts for the material that follows.
Edition/Copyright:2ND 03 Cover: Hardback Publisher:W.H. Freeman Published: 07/28/2002 International: No
View Author Bio
Moore, David S. : Purdue University
Starnes, Daren S. : The Webb Schools
Yates, Dan :
View 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
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