Additional Information
Book Details
Abstract
For courses in introductory statistics.
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™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
MyStatLab from Pearson is the world’s leading online resource for teaching and learning statistics, integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers improving results in helping individual students succeed.
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™.
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Cover | Cover | ||
| Title Page | 3 | ||
| Copyright Page | 4 | ||
| Contents | 7 | ||
| Preface to the Instructor | 13 | ||
| Resources for Success | 18 | ||
| Applications Index | 23 | ||
| Part 1: Getting the Information You Need | 29 | ||
| Chapter 1: Data Collection | 30 | ||
| 1.1 Introduction to the Practice of Statistics | 31 | ||
| 1.2 Observational Studies versus Designed Experiments | 42 | ||
| 1.3 Simple Random Sampling | 49 | ||
| 1.4 Other Effective Sampling Methods | 56 | ||
| 1.5 Bias in Sampling | 64 | ||
| 1.6 The Design of Experiments | 70 | ||
| Chapter 1 Review | 82 | ||
| Chapter Test | 85 | ||
| Making an Informed Decision: What College Should I Attend? | 87 | ||
| Case Study: Chrysalises for Cash | 87 | ||
| Part 2: Descriptive Statistics | 89 | ||
| Chapter 2: Organizing and Summarizing Data | 90 | ||
| 2.1 Organizing Qualitative Data | 91 | ||
| 2.2 Organizing Quantitative Data: The Popular Displays | 104 | ||
| 2.3 Additional Displays of Quantitative Data | 122 | ||
| 2.4 Graphical Misrepresentations of Data | 129 | ||
| Chapter 2 Review | 137 | ||
| Chapter Test | 141 | ||
| Making an Informed Decision: Tables or Graphs? | 143 | ||
| Case Study: The Day the Sky Roared | 143 | ||
| Chapter 3: Numerically Summarizing Data | 145 | ||
| 3.1 Measures of Central Tendency | 146 | ||
| 3.2 Measures of Dispersion | 159 | ||
| 3.3 Measures of Central Tendency and Dispersion from Grouped Data | 175 | ||
| 3.4 Measures of Position and Outliers | 182 | ||
| 3.5 The Five-Number Summary and Boxplots | 192 | ||
| Chapter 3 Review | 200 | ||
| Chapter Test | 204 | ||
| Making an Informed Decision: What Car Should I Buy? | 206 | ||
| Case Study: Who Was “A Mourner”? | 207 | ||
| Chapter 4: Describing the Relation between Two Variables | 208 | ||
| 4.1 Scatter Diagrams and Correlation | 209 | ||
| 4.2 Least-Squares Regression | 225 | ||
| 4.3 Diagnostics on the Least-Squares Regression Line | 239 | ||
| 4.4 Contingency Tables and Association | 253 | ||
| Chapter 4 Review | 264 | ||
| Chapter Test | 270 | ||
| Making an Informed Decision: Relationships among Variables on a World Scale | 271 | ||
| Case Study: Thomas Malthus, Population, and Subsistence | 272 | ||
| 4.5 Nonlinear Regression: Transformations (online) | 4-1 | ||
| Part 3: Probability and Probability Distributions | 273 | ||
| Chapter 5: Probability | 274 | ||
| 5.1 Probability Rules | 275 | ||
| 5.2 The Addition Rule and Complements | 290 | ||
| 5.3 Independence and the Multiplication Rule | 301 | ||
| 5.4 Conditional Probability and the General Multiplication Rule | 307 | ||
| 5.5 Counting Techniques | 317 | ||
| 5.6 Putting It Together: Which Method Do I Use? | 330 | ||
| Chapter 5 Review | 335 | ||
| Chapter Test | 339 | ||
| Making an Informed Decision: The Effects of Drinking and Driving | 340 | ||
| Case Study: The Case of the Body in the Bag | 341 | ||
| 5.7 Bayes’s Rule (online) | 5-1 | ||
| Chapter 6: Discrete Probability Distributions | 343 | ||
| 6.1 Discrete Random Variables | 344 | ||
| 6.2 The Binomial Probability Distribution | 355 | ||
| 6.3 The Poisson Probability Distribution | 371 | ||
| Chapter 6 Review | 377 | ||
| Chapter Test | 380 | ||
| Making an Informed Decision: Should We Convict? | 381 | ||
| Case Study: The Voyage of the St. Andrew | 382 | ||
| 6.4 The Hypergeometric Probability Distribution (online) | 6-1 | ||
| Chapter 7: The Normal Probability Distribution | 383 | ||
| 7.1 Properties of the Normal Distribution | 384 | ||
| 7.2 Applications of the Normal Distribution | 394 | ||
| 7.3 Assessing Normality | 405 | ||
| 7.4 The Normal Approximation to the Binomial Probability Distribution | 410 | ||
| Chapter 7 Review | 415 | ||
| Chapter Test | 418 | ||
| Making an Informed Decision: Stock Picking | 419 | ||
| Case Study: A Tale of Blood Chemistry | 419 | ||
| Part 4: Inference: From Samples to Population | 421 | ||
| Chapter 8: Sampling Distributions | 422 | ||
| 8.1 Distribution of the Sample Mean | 423 | ||
| 8.2 Distribution of the Sample Proportion | 436 | ||
| Chapter 8 Review | 443 | ||
| Chapter Test | 445 | ||
| Making an Informed Decision: How Much Time Do You Spend in a Day … ? | 446 | ||
| Case Study: Sampling Distribution of the Median | 446 | ||
| Chapter 9: Estimating the Value of a Parameter | 448 | ||
| 9.1 Estimating a Population Proportion | 449 | ||
| 9.2 Estimating a Population Mean | 463 | ||
| 9.3 Estimating a Population Standard Deviation | 477 | ||
| 9.4 Putting It Together: Which Procedure Do I Use? | 483 | ||
| 9.5 Estimating with Bootstrapping | 486 | ||
| Chapter 9 Review | 493 | ||
| Chapter Test | 497 | ||
| Making an Informed Decision: How Much Should I Spend for this House? | 498 | ||
| Case Study: Fire-Safe Cigarettes | 499 | ||
| Chapter 10: Hypothesis Tests Regarding a Parameter | 500 | ||
| 10.1 The Language of Hypothesis Testing | 501 | ||
| 10.2 Hypothesis Tests for a Population Proportion | 508 | ||
| 10.3 Hypothesis Tests for a Population Mean | 522 | ||
| 10.4 Hypothesis Tests for a Population Standard Deviation | 532 | ||
| 10.5 Putting It Together: Which Method Do I Use? | 538 | ||
| 10.6 The Probability of a Type II Error and the Power of the Test | 540 | ||
| Chapter 10 Review | 545 | ||
| Chapter Test | 549 | ||
| Making an Informed Decision: Selecting a Mutual Fund | 550 | ||
| Case Study: How Old Is Stonehenge? | 550 | ||
| Chapter 11: Inferences on Two Samples | 552 | ||
| 11.1 Inference about Two Population Proportions | 553 | ||
| 11.2 Inference about Two Means: Dependent Samples | 564 | ||
| 11.3 Inference about Two Means: Independent Samples | 575 | ||
| 11.4 Inference about Two Population Standard Deviations | 586 | ||
| 11.5 Putting It Together: Which Method Do I Use? | 595 | ||
| Chapter 11 Review | 600 | ||
| Chapter Test | 603 | ||
| Making an Informed Decision: Which Car Should I Buy? | 605 | ||
| Case Study: Control in the Design of an Experiment | 605 | ||
| Chapter 12: Inference on Categorical Data | 607 | ||
| 12.1 Goodness-of-Fit Test | 608 | ||
| 12.2 Tests for Independence and the Homogeneity of Proportions | 620 | ||
| 12.3 Inference about Two Population Proportions: Dependent Samples | 635 | ||
| Chapter 12 Review | 639 | ||
| Chapter Test | 642 | ||
| Making an Informed Decision: Benefits of College | 643 | ||
| Case Study: Feeling Lucky? Well, Are You? | 643 | ||
| Chapter 13: Comparing Three or More Means | 645 | ||
| 13.1 Comparing Three or More Means (One-Way Analysis of Variance) | 646 | ||
| 13.2 Post Hoc Tests on One-Way Analysis of Variance | 663 | ||
| 13.3 The Randomized Complete Block Design | 671 | ||
| 13.4 Two-Way Analysis of Variance | 680 | ||
| Chapter 13 Review | 694 | ||
| Chapter Test | 697 | ||
| Making an Informed Decision: Where Should I Invest? | 699 | ||
| Case Study: Hat Size and Intelligence | 700 | ||
| Chapter 14: Inference on the Least-Squares Regression Model and Multiple Regression | 701 | ||
| 14.1 Testing the Significance of the Least-Squares Regression Model | 702 | ||
| 14.2 Confidence and Prediction Intervals | 717 | ||
| 14.3 Introduction to Multiple Regression | 722 | ||
| 14.4 Interaction and Dummy Variables | 737 | ||
| 14.5 Polynomial Regression | 745 | ||
| 14.6 Building a Regression Model | 750 | ||
| Chapter 14 Review | 763 | ||
| Chapter Test | 767 | ||
| Making an Informed Decision: Buying a Home | 769 | ||
| Case Study: Housing Boom | 769 | ||
| Chapter 15: Nonparametric Statistics | 771 | ||
| 15.1 An Overview of Nonparametric Statistics | 772 | ||
| 15.2 Runs Test for Randomness | 773 | ||
| 15.3 Inference about Measures of Central Tendency | 780 | ||
| 15.4 Inference about the Difference between Two Medians: Dependent Samples | 787 | ||
| 15.5 Inference about the Difference between Two Medians: Independent Samples | 797 | ||
| 15.6 Spearman’s Rank-Correlation Test | 805 | ||
| 15.7 Kruskal–Wallis Test | 811 | ||
| Chapter 15 Review | 818 | ||
| Chapter Test | 821 | ||
| Making an Informed Decision: Where Should I Live? | 822 | ||
| Case Study: Evaluating Alabama’s 1891 House Bill 504 | 822 | ||
| Photo Credits | PC-1 | ||
| Appendix A: Tables | A-1 | ||
| Appendix B: Lines | B-1 | ||
| Answers | ANS-1 | ||
| Index | I-1 | ||
| A | I-1 | ||
| B | I-1 | ||
| C | I-1 | ||
| D | I-2 | ||
| E | I-3 | ||
| F | I-4 | ||
| G | I-4 | ||
| H | I-4 | ||
| I | I-5 | ||
| J | I-5 | ||
| K | I-5 | ||
| L | I-5 | ||
| M | I-6 | ||
| N | I-7 | ||
| O | I-7 | ||
| P | I-7 | ||
| Q | I-9 | ||
| R | I-9 | ||
| S | I-9 | ||
| T | I-11 | ||
| U | I-12 | ||
| V | I-12 | ||
| W | I-12 | ||
| Y | I-12 | ||
| Z | I-12 |