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 (TM).
Putting It Together
Statistics: Informed Decisions Using Data, Fifth Edition, gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today's classroom. His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large.
MyStatLab for this edition takes advantage of data analytics to add additional exercises to high usage chapters. New Technology Support Videos show the author demonstrating easy-to-follow steps to solve a problem in several different formats-by hand, TI-84, and StatCrunch (TM).
Personalize learning with MyStatLab
MyStatLab from Pearson is the world's leading online resource for teaching and learning statistics; it integrates interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that helps individual students succeed. It provides engaging experiences that personalize, stimulate, and measure learning for each student. Tools are embedded to make it easy to integrate statistical software into the course. And, it comes from an experienced partner with educational expertise and an eye on the future.
0134135369 / 9780134135366 * Statistics: Informed Decisions Using Data plus MyStatLab with Pearson eText -- Access Card Package
Package consists of:
0134133536 / 9780134133539 * Statistics: Informed Decisions Using Data
0321847997 / 9780321847997 * My StatLab Glue-in Access Card
032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages
With training in mathematics, statistics, and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school and college-level mathematics. He is currently a full-time professor of mathematics and statistics at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series, which include a Developmental Math series, and a Precalculus series, which he writes with his father, Michael Sullivan. Mike has built this book in the classroom, using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so that they will be better decision-makers and have stronger critical-thinking skills. When not in the classroom or writing, Mike enjoys spending time with his three children, Michael, Kevin, and Marissa, and playing golf.
Preface to the Instructor Resources for Success Technology Resources Applications Index PART 1: GETTING THE INFORMATION YOU NEED 1. Data Collection 1.1 Introduction to the Practice of Statistics 1.2 Observational Studies versus Designed Experiments 1.3 Simple Random Sampling 1.4 Other Effective Sampling Methods 1.5 Bias in Sampling 1.6 The Design of Experiments Chapter 1 Review Chapter Test Making an Informed Decision: What College Should I Attend? Case Study: Chrysalises for Cash PART 2: DESCRIPTIVE STATISTICS 2. Organizing and Summarizing Data 2.1 Organizing Qualitative Data 2.2 Organizing Quantitative Data: The Popular Displays 2.3 Additional Displays of Quantitative Data 2.4 Graphical Misrepresentations of Data Chapter 2 Review Chapter Test Making an Informed Decision: Tables or Graphs? Case Study: The Day the Sky Roared 3. Numerically Summarizing Data 3.1 Measures of Central Tendency 3.2 Measures of Dispersion 3.3 Measures of Central Tendency and Dispersion from Grouped Data 3.4 Measures of Position and Outliers 3.5 The Five-Number Summary and Boxplots Chapter 3 Review Chapter Test Making an Informed Decision: What Car Should I Buy? Case Study: Who Was "A Mourner"? 4. Describing the Relation between Two Variables 4.1 Scatter Diagrams and Correlation 4.2 Least-Squares Regression 4.3 Diagnostics on the Least-Squares Regression Line 4.4 Contingency Tables and Association 4.5 Nonlinear Regression: Transformations (online) 4-1 Chapter 4 Review Chapter Test Making an Informed Decision: Relationships among Variables on a World Scale Case Study: Thomas Malthus, Population, and Subsistence PART 3: PROBABILITY AND PROBABILITY DISTRIBUTIONS 5. Probability 5.1 Probability Rules 5.2 The Addition Rule and Complements 5.3 Independence and the Multiplication Rule 5.4 Conditional Probability and the General Multiplication Rule 5.5 Counting Techniques 5.6 Putting It Together: Which Method Do I Use? 5.7 Bayes's Rule (online) 5-1 Chapter 5 Review Chapter Test Making an Informed Decision: The Effects of Drinking and Driving Case Study: The Case of the Body in the Bag 6. Discrete Probability Distributions 6.1 Discrete Random Variables 6.2 The Binomial Probability Distribution 6.3 The Poisson Probability Distribution 6.4 The Hypergeometric Probability Distribution (online) 6-1 Chapter 6 Review Chapter Test Making an Informed Decision: Should We Convict? Case Study: The Voyage of the St. Andrew 7. The Normal Probability Distribution 7.1 Properties of the Normal Distribution 7.2 Applications of the Normal Distribution 7.3 Assessing Normality 7.4 The Normal Approximation to the Binomial Probability Distribution Chapter 7 Review Chapter Test Making an Informed Decision: Stock Picking Case Study: A Tale of Blood Chemistry Inference: From Samples to Population PART 4: INFERENCE: FROM SAMPLES TO POPULATION 8. Sampling Distributions 8.1 Distribution of the Sample Mean 8.2 Distribution of the Sample Proportion Chapter 8 Review Chapter Test Making an Informed Decision: How Much Time Do You Spend in a Day...? Case Study: Sampling Distribution of the Median 9. Estimating the Value of a Parameter 9.1 Estimating a Population Proportion 9.2 Estimating a Population Mean 9.3 Estimating a Population Standard Deviation 9.4 Putting It Together: Which Procedure Do I Use? 9.5 Estimating with Bootstrapping Chapter 9 Review Chapter Test Making an Informed Decision: How Much Should I Spend for this House? Case Study: Fire-Safe Cigarettes 10. Hypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing 10.2 Hypothesis Tests for a Population Proportion 10.3 Hypothesis Tests for a Population Mean 10.4 Hypothesis Tests for a Population Standard Deviation 10.5 Putting It Together: Which Method Do I Use? 10.6 The Probability of a Type II Error and the Power of the Test Chapter 10 Review Chapter Test Making an Informed Decision: Selecting a Mutual Fund Case Study: How Old Is Stonehenge? 11. Inferences on Two Samples 11.1 Inference about Two Population Proportions 11.2 Inference about Two Means: Dependent Samples 11.3 Inference about Two Means: Independent Samples 11.4 Inference about Two Population Standard Deviations 11.5 Putting It Together: Which Method Do I Use? Chapter 11 Review Chapter Test Making an Informed Decision: Which Car Should I Buy? Case Study: Control in the Design of an Experiment 12. Inference on Categorical Data 12.1 Goodness-of-Fit Test 12.2 Tests for Independence and the Homogeneity of Proportions 12.3 Inference about Two Population Proportions: Dependent Samples Chapter 12 Review Chapter Test Making an Informed Decision: Benefits of College Case Study: Feeling Lucky? Well, Are You? 13. Comparing Three or More Means 13.1 Comparing Three or More Means (One-Way Analysis of Variance) 13.2 Post Hoc Tests on One-Way Analysis of Variance 13.3 The Randomized Complete Block Design 13.4 Two-Way Analysis of Variance Chapter 13 Review Chapter Test Making an Informed Decision: Where Should I Invest? Case Study: Hat Size and Intelligence 14. Inference on the Least-Squares Regression Model and Multiple Regression 14.1 Testing the Significance of the Least-Squares Regression Model 14.2 Confidence and Prediction Intervals 14.3 Introduction to Multiple Regression 14.4 Interaction and Dummy Variables 14.5 Polynomial Regression 14.6 Building a Regression Model Chapter 14 Review Chapter Test Making an Informed Decision: Buying a Home Case Study: Housing Boom 15. Nonparametric Statistics 15.1 An Overview of Nonparametric Statistics 15.2 Runs Test for Randomness 15.3 Inferences about Measures of Central Tendency 15.4 Inferences about the Difference between Two Medians: Dependent Samples 15.5 Inferences about the Difference between Two Medians: Independent Samples 15.6 Spearman's Rank-Correlation Test 15.7 Kruskal-Wallis Test Chapter 15 Review Chapter Test Making an Informed Decision: Where Should I Live? Case Study: Evaluating Alabama's 1891 House Bill 504. Appendix A Tables Appendix B Lines (online) Photo Credits Answers Index