欣德斯、克雷恩编著的《AP统计学5分制胜》引进自美国知名教育出版公司McGraw-Hill Education，是美国本土大学课堂使用教材，可以帮助考生提前适应全英学习模式。紧扣考试命题特点，以“五步”方案为学习框架，囊括与考试相关的学科要点。同时，还精选针对性练习以及全真模拟试题，配以准确答案和详尽解析，利于考生巩固所学，紧抓重点，取得高分。

要想在AP统计学考试中表现优秀，就要仔细阅读这本书，认真学习AP统计学课程中的全部知识。

STEP 1 Set Up Your Study Program, 1

1 What You Need to Know About the AP Statistics Exam, 3

Background Information, 3

Some Frequently Asked Questions About the AP Statistics Exam, 4

2 How to Plan Your Time, 10

Three Approaches to Preparing for the AP Statistics Exam, 10

Calendar for Each Plan, 12

STEP 2 Determine Your Test Readiness, 15

3 Take a Diagnostic Exam, 17

Interpretation: How Ready Are You?, 41

Section I: Multiple-Choice Questions, 41

Section II: Free-Response Questions, 41

Composite Score, 41

STEP 3 Develop Strategies for Success, 43

4 Tips for Taking the Exam, 45 STEP 1 Set Up Your Study Program, 1

1 What You Need to Know About the AP Statistics Exam, 3

Background Information, 3

Some Frequently Asked Questions About the AP Statistics Exam, 4

2 How to Plan Your Time, 10

Three Approaches to Preparing for the AP Statistics Exam, 10

Calendar for Each Plan, 12

STEP 2 Determine Your Test Readiness, 15

3 Take a Diagnostic Exam, 17

Interpretation: How Ready Are You?, 41

Section I: Multiple-Choice Questions, 41

Section II: Free-Response Questions, 41

Composite Score, 41

STEP 3 Develop Strategies for Success, 43

4 Tips for Taking the Exam, 45

General Test-Taking Tips, 46

Tips for Multiple-Choice Questions, 46

Tips for Free-Response Questions, 47

Specific Statistics Content Tips, 49

STEP 4 Review the Knowledge You Need to Score High, 51

5 Overview of Statistics/Basic Vocabulary, 53

Descriptive versus Inferential Statistics, 54

Quantitative versus Qualitative Data, 54

Collecting Data: Surveys, Experiments, Observational Studies, 55

Random Variables, 56

6 One-Variable Data Analysis, 59

Graphical Analysis, 60

Measures of Center, 66

Measures of Spread, 68

Position of a Term in a Distribution, 71

Normal Distribution, 74

Practice Problems, 80

Cumulative Review Problems, 85

Solutions to Practice Problems, 86

Solutions to Cumulative Review Problems, 91

7 Two-Variable Data Analysis, 93

Scatterplots, 93

Correlation, 95

Lines of Best Fit, 99

Residuals, 102

Coefficient of Determination, 104

Outliers and Influential Observations, 105

Transformations to Achieve Linearity, 106

Practice Problems, 109

Cumulative Review Problems, 115

Solutions to Practice Problems, 116

Solutions to Cumulative Review Problems, 119

8 Design of a Study: Sampling, Surveys, and Experiments, 121

Samples, 122

Sampling Bias, 124

Experiments and Observational Studies, 126

Practice Problems, 132

Cumulative Review Problems, 137

Solutions to Practice Problems, 137

Solutions to Cumulative Review Problems, 141

9 Probability and Random Variables, 143

Probability, 143

Random Variables, 148

Normal Probabilities, 152

Simulation and Random Number Generation, 154

Transforming and Combining Random Variables, 157

Rules for the Mean and Standard Deviation of Combined Random Variables, 157

Practice Problems, 159

Cumulative Review Problems, 165

Solutions to Practice Problems, 166

Solutions to Cumulative Review Problems, 172

10 Binomial Distributions, Geometric Distributions, and Sampling Distributions, 174

Binomial Distributions, 174

Normal Approximation to the Binomial, 177

Geometric Distributions, 179

Sampling Distributions, 180

Sampling Distributions of a Sample Proportion, 184

Practice Problems, 186

Cumulative Review Problems, 190

Solutions to Practice Problems, 191

Solutions to Cumulative Review Problems, 196

11 Confidence Intervals and Introduction to Inference, 197

Estimation and Confidence Intervals, 198

Confidence Intervals for Means and Proportions, 201

Sample Size, 206

Statistical Significance and P-Value, 208

The Hypothesis-Testing Procedure, 210

Type-I and Type-II Errors and the Power of a Test, 211

Practice Problems, 215

Cumulative Review Problems, 220

Solutions to Practice Problems, 221

Solutions to Cumulative Review Problems, 227

12 Inference for Means and Proportions, 229

Significance Testing, 230

Inference for a Single Population Mean, 232

Inference for the Difference Between Two Population Means, 235

Inference for a Single Population Proportion, 237

Inference for the Difference Between Two Population Proportions, 239

Practice Problems, 243

Cumulative Review Problems, 248

Solutions to Practice Problems, 249

13 Inference for Regression, 258

Simple Linear Regression, 258

Inference for the Slope of a Regression Line, 260

Confidence Interval for the Slope of a Regression Line, 262

Inference for Regression Using Technology, 264

Practice Problems, 268

Cumulative Review Problems, 272

Solutions to Practice Problems, 273

Solutions to Cumulative Review Problems, 277

14 Inference for Categorical Data: Chi-Square, 279

Chi-Square Goodness-of-Fit Test, 279

Inference for Two-Way Tables, 284

Practice Problems, 291

Cumulative Review Problems, 296

Solutions to Practice Problems, 296

Solutions to Cumulative Review Problems, 300

STEP 5 Build Your Test-Taking Confidence, 301

AP Statistics Practice Exam 1, 305

AP Statistics Practice Exam 2, 331

Appendixes, 355

Formulas, 356

Tables, 358

Bibliography, 362

Web Sites, 363

Glossary, 364