## Overview

**NOTE: **Before purchasing, check with your instructor to ensure you **select the correct ISBN. **Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a** Course ID, **which your instructor will provide.

**Used books, rentals, and purchases made outside of Pearson**

If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.

*For courses in introductory statistics.*

*This package includes MyStatLab ^{™}.*

**A Contemporary Classic**

Classic, yet contemporary; theoretical, yet applied–McClave & Sincich’s **Statistics** gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises.

Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.

**Personalize learning with MyStatLab**

MyStatLab^{™} is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, MyStatLab offers 25% new and updated exercises.

0134090438 / 9780134090436 * Statistics Plus New MyStatLab with Pearson eText -- Access Card Package

Package consists of:

0134080211 / 9780134080215 * Statistics

0321847997 / 9780321847997 * My StatLab Glue-in Access Card

032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages

## Table of contents

**1. Statistics, Data, and Statistical Thinking**

1.1 The Science of Statistics

1.2 Types of Statistical Applications

1.3 Fundamental Elements of Statistics

1.4 Types of Data

1.5 Collecting Data: Sampling and Related Issues

1.6 The Role of Statistics in Critical Thinking and Ethics

Statistics in Action: Social Media Network Usage—Are You Linked In?

Using Technology: MINITAB: Accessing and Listing Data

**2. Methods for Describing Sets of Data**

2.1 Describing Qualitative Data

2.2 Graphical Methods for Describing Quantitative Data

2.3 Numerical Measures of Central Tendency

2.4 Numerical Measures of Variability

2.5 Using the Mean and Standard Deviation to Describe Data

2.6 Numerical Measures of Relative Standing

2.7 Methods for Detecting Outliers: Box Plots and z-Scores

2.8 Graphing Bivariate Relationships (Optional)

2.9 Distorting the Truth with Descriptive Statistics

Statistics in Action: Body Image Dissatisfaction: Real or Imagined?

Using Technology: MINITAB: Describing Data

TI-83/TI–84 Plus Graphing Calculator: Describing Data

**3. Probability**

3.1 Events, Sample Spaces, and Probability

3.2 Unions and Intersections

3.3 Complementary Events

3.4 The Additive Rule and Mutually Exclusive Events

3.5 Conditional Probability

3.6 The Multiplicative Rule and Independent Events

3.7 Some Additional Counting Rules (Optional)

3.8 Bayes’s Rule (Optional)

Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?

Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations

**4. Discrete Random Variables**

4.1 Two Types of Random Variables

4.2 Probability Distributions for Discrete Random Variables

4.3 Expected Values of Discrete Random Variables

4.4 The Binomial Random Variable

4.5 The Poisson Random Variable (Optional)

4.6 The Hypergeometric Random Variable (Optional)

Statistics in Action: Probability in a Reverse Cocaine Sting: Was Cocaine Really Sold?

Using Technology: MINITAB: Discrete Probabilities

TI-83/TI-84 Plus Graphing Calculator: Discrete Random Variables and Probabilities

**5. Continuous Random Variables**

5.1 Continuous Probability Distributions

5.2 The Uniform Distribution

5.3 The Normal Distribution

5.4 Descriptive Methods for Assessing Normality

5.5 Approximating a Binomial Distribution with a Normal Distribution (Optional)

5.6 The Exponential Distribution (Optional)

Statistics in Action: Super Weapons Development—Is the Hit Ratio Optimized?

Using Technology: MINITAB: Continuous Random Variable Probabilities and Normal Probability Plots

TI-83/TI-84 Plus Graphing Calculator: Normal Random Variable and Normal Probability Plots

**6. Sampling Distributions**

6.1 The Concept of a Sampling Distribution

6.2 Properties of Sampling Distributions: Unbiasedness and Minimum Variance

6.3 The Sampling Distribution of (x-bar) and the Central Limit Theorem

6.4 The Sampling Distribution of the Sample Proportion

Statistics in Action: The Insomnia Pill: Is It Effective?

Using Technology: MINITAB: Simulating a Sampling Distribution

**7. Inferences Based on a Single Sample: Estimation with Confidence Intervals**

7.1 Identifying and Estimating the Target Parameter

7.2 Confidence Interval for a Population Mean: Normal (z) Statistic

7.3 Confidence Interval for a Population Mean: Student’s t-Statistic

7.4 Large-Sample Confidence Interval for a Population Proportion

7.5 Determining the Sample Size

7.6 Confidence Interval for a Population Variance (Optional)

Statistics in Action: Medicare Fraud Investigations

Using Technology: MINITAB: Confidence Intervals

TI-83/TI-84 Plus Graphing Calculator: Confidence Intervals

**8. Inferences Based on a Single**

Sample: Tests of Hypothesis

8.1 The Elements of a Test of Hypothesis

8.2 Formulating Hypotheses and Setting Up the Rejection Region

8.3 Observed Significance Levels: p-Values

8.4 Test of Hypothesis about a Population Mean: Normal (z) Statistic

8.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic

8.6 Large-Sample Test of Hypothesis about a Population Proportion

8.7 Calculating Type II Error Probabilities: More about β (Optional)

8.8 Test of Hypothesis about a Population Variance (Optional)

Statistics in Action: Diary of a KLEENEX® User—How Many Tissues in a Box?

Using Technology: MINITAB: Tests of Hypotheses

TI-83/TI-84 Plus Graphing Calculator: Tests of Hypotheses

**9. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses**

9.1 Identifying the Target Parameter

9.2 Comparing Two Population Means: Independent Sampling

9.3 Comparing Two Population Means: Paired Difference Experiments

9.4 Comparing Two Population Proportions: Independent Sampling

9.5 Determining the Sample Size

9.6 Comparing Two Population Variances: Independent Sampling (Optional)

Statistics in Action: ZixIt Corp. v. Visa USA Inc.—A Libel Case

Using Technology: MINITAB: Two-Sample Inferences

TI-83/TI-84 Plus Graphing Calculator: Two Sample Inferences

**10. Analysis of Variance: Comparing More than Two Means**

10.1 Elements of a Designed Study

10.2 The Completely Randomized Design: Single Factor

10.3 Multiple Comparisons of Means

10.4 The Randomized Block Design

10.5 Factorial Experiments: Two Factors

Statistics in Action: Voice versus Face Recognition—Does One Follow the Other?

Using Technology: MINITAB: Analysis of Variance

TI-83/TI-84 Plus Graphing Calculator: Analysis of Variance

**11. Simple Linear Regression**

11.1 Probabilistic Models

11.2 Fitting the Model: The Least Squares Approach

11.3 Model Assumptions

11.4 Assessing the Utility of the Model: Making Inferences about the Slope β1

11.5 The Coefficients of Correlation and Determination

11.6 Using the Model for Estimation and Prediction

11.7 A Complete Example

Statistics in Action: Can “Dowsers” Really Detect Water?

Using Technology: MINITAB: Simple Linear Regression

TI-83/TI-84 Plus Graphing Calculator: Simple Linear Regression

**12. Multiple Regression and Model Building**

12.1 Multiple-Regression Models

PART I: First-Order Models with Quantitative Independent Variables

12.2 Estimating and Making Inferences about the β Parameters

12.3 Evaluating Overall Model Utility

12.4 Using the Model for Estimation and Prediction

PART II: Model Building in Multiple Regression

12.5 Interaction Models

12.6 Quadratic and Other Higher Order Models

12.7 Qualitative (Dummy) Variable Models

12.8 Models with Both Quantitative and Qualitative Variables (Optional)

12.9 Comparing Nested Models (Optional)

12.10 Stepwise Regression (Optional)

PART III: Multiple Regression Diagnostics

12.11 Residual Analysis: Checking the Regression Assumptions

12.12 Some Pitfalls: Estimability, Multicollinearity, and Extrapolation

Statistics in Action: Modeling Condominium Sales: What Factors Affect

Auction Price? Using Technology: MINITAB: Multiple Regression TI-83/TI-84 Plus Graphing Calculator: Multiple Regression

**13. Categorical Data Analysis**

13.1 Categorical Data and the Multinomial Experiment

13.2 Testing Categorical Probabilities: One-Way Table

13.3 Testing Categorical Probabilities: Two-Way (Contingency) Table

13.4 A Word of Caution about Chi-Square Tests

Statistics in Action: The Case of the Ghoulish Transplant Tissue Using Technology: MINITAB: Chi-Square Analyses TI-83/TI-84 Plus Graphing Calculator: Chi-Square Analyses

**14. Nonparametric Statistics (available online)**

14.1 Introduction: Distribution-Free Tests

14.2 Single-Population Inferences

14.3 Comparing Two Populations: Independent Samples

14.4 Comparing Two Populations: Paired Difference Experiment

14.5 Comparing Three or More Populations: Completely Randomized Design

14.6 Comparing Three or More Populations: Randomized Block Design

14.7 Rank Correlation 14-48

Statistics in Action: Pollutants at a Housing Development: A Case of Mishandling Small Samples 14-2

Using Technology: MINITAB: Nonparametric Tests 14-65

## For teachers

All the material you need to teach your courses.

Discover teaching material