Additional Information
Book Details
Abstract
For courses in introductory statistics.
A Contemporary Classic
Classic, yet contemporary; theoretical, yet applied--McClave & Sincich’s A First Course in 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.
MyStatLabTM 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 is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Front Cover | Front Cover | ||
| Applet Correlation | IFC-1 | ||
| Title Page | 5 | ||
| Copyright Page | 6 | ||
| Contents | 7 | ||
| Preface | 11 | ||
| Applications Index | 19 | ||
| Chapter 1 Statistics, Data, and Statistical Thinking | 25 | ||
| 1.1 The Science of Statistics | 26 | ||
| 1.2 Types of Statistical Applications | 27 | ||
| 1.3 Fundamental Elements of Statistics | 29 | ||
| 1.4 Types of Data | 33 | ||
| 1.5 Collecting Data: Sampling and Related Issues | 35 | ||
| 1.6 The Role of Statistics in Critical Thinking and Ethics | 40 | ||
| Statistics in Action: Social Media Network Usage—Are You Linked In? | 26 | ||
| Using Technology: MINITAB: Accessing and Listing Data | 49 | ||
| Chapter 2 Methods for Describing Sets of Data | 53 | ||
| 2.1 Describing Qualitative Data | 55 | ||
| 2.2 Graphical Methods for Describing Quantitative Data | 66 | ||
| 2.3 Numerical Measures of Central Tendency | 78 | ||
| 2.4 Numerical Measures of Variability | 89 | ||
| 2.5 Using The Mean and Standard Deviation to Describe Data | 95 | ||
| 2.6 Numerical Measures of Relative Standing | 103 | ||
| 2.7 Methods for Detecting Outliers: Box Plots and z-Scores | 107 | ||
| 2.8 Graphing Bivariate Relationships (Optional) | 117 | ||
| 2.9 Distorting the Truth with Descriptive Statistics | 122 | ||
| Statistics in Action: Body Image Dissatisfaction: Real or Imagined? | 54 | ||
| Using Technology: MINITAB: Describing Data | 136 | ||
| TI-83/TI–84 Plus Graphing Calculator: Describing Data | 136 | ||
| Chapter 3 Probability | 139 | ||
| 3.1 Events, Sample Spaces, and Probability | 141 | ||
| 3.2 Unions and Intersections | 154 | ||
| 3.3 Complementary Events | 157 | ||
| 3.4 The Additive Rule and Mutually Exclusive Events | 159 | ||
| 3.5 Conditional Probability | 166 | ||
| 3.6 The Multiplicative Rule and Independent Events | 169 | ||
| Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning? | 140 | ||
| Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations | 189 | ||
| Chapter 4 Random Variables and Probability Distributions | 190 | ||
| 4.1 Two Types of Random Variables | 192 | ||
| 4.2 Probability Distributions for Discrete Random Variables | 195 | ||
| 4.3 The Binomial Random Variable | 207 | ||
| 4.4 Probability Distributions for Continuous Random Variables | 218 | ||
| 4.5 The Normal Distribution | 220 | ||
| 4.6 Descriptive Methods for Assessing Normality | 233 | ||
| 4.7 Approximating a Binomial Distribution with a Normal Distribution (Optional) | 242 | ||
| 4.8 Sampling Distributions | 247 | ||
| 4.9 The Sampling Distribution of x and the Central Limit Theorem | 254 | ||
| Statistics in Action: Super Weapons Development—Is the Hit Ratio Optimized? | 191 | ||
| Using Technology: MINITAB: Binomial Probabilities, Normal Probability, and Simulated\rSampling Distribution | 271 | ||
| Chapter 5 Inferences Based on a SingleSample | 276 | ||
| 5.1 Identifying and Estimating the Target Parameter | 277 | ||
| 5.2 Confidence Interval for a Population Mean: Normal (z) Statistic | 279 | ||
| 5.3 Confidence Interval for a Population Mean: Student’s t-Statistic | 289 | ||
| 5.4 Large-Sample Confidence Interval for a Population Proportion | 299 | ||
| 5.5 Determining the Sample Size | 306 | ||
| 5.6 Confidence Interval for a Population Variance (Optional) | 313 | ||
| Statistics in Action: Medicare Fraud Investigations | 277 | ||
| Using Technology: MINITAB: Confidence Intervals | 326 | ||
| TI-83/TI-84 Plus Graphing Calculator: Confidence Intervals | 328 | ||
| Chapter 6 Inferences Based on a Single Sample Sample | 330 | ||
| 6.1 The Elements of a Test of Hypothesis | 331 | ||
| 6.2 Formulating Hypotheses and Setting Up the Rejection Region | 337 | ||
| 6.3 Observed Significance Levels:p-Values | 342 | ||
| 6.4 Test Of Hypothesis about a Population Mean: Normal (z) Statistic | 347 | ||
| 6.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic | 355 | ||
| 6.6 Large-Sample Test of Hypothesis about a Population Proportion | 362 | ||
| 6.7 Test of Hypothesis about a Population Variance (Optional) | 370 | ||
| 6.8 A Nonparametric Test about a Population Median (Optional) | 376 | ||
| Statistics in Action: Diary of a KLEENEX® User—How Many Tissues in a Box? | 376 | ||
| Using Technology: MINITAB: Tests of Hypotheses | 388 | ||
| TI-83/TI-84 Plus Graphing Calculator: Tests of Hypotheses | 390 | ||
| Chapter 7 Comparing Population Means | 391 | ||
| 7.1 Identifying the Target Parameter | 392 | ||
| 7.2 Comparing Two Population Means: Independent Sampling | 393 | ||
| 7.3 Comparing Two Population Means: Paired Difference Experiments | 411 | ||
| 7.4 Determining the Sample Size | 423 | ||
| 7.5 A Nonparametric Test for Comparing Two Populations: Independent Samples (Optional) | 427 | ||
| 7.6 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiment (Optional) | 436 | ||
| 7.7 Comparing Three or More Population Means: Analysis of Variance (Optional) | 445 | ||
| Statistics in Action: ZixIt Corp. v. Visa USA Inc.—A Libel Case | 392 | ||
| Using Technology: MINITAB: Comparing Means | 467 | ||
| TI-83/TI-84 Plus Graphing Calculator: Comparing Means | 469 | ||
| Chapter 8 Comparing Population Proportions | 473 | ||
| 8.1 Comparing Two Population Proportions: Independent Sampling | 475 | ||
| 8.2 Determining the Sample Size | 482 | ||
| 8.3 Testing Category Probabilities: Multinomial Experiment | 485 | ||
| 8.4 Testing Categorical Probabilities: Two-Way (Contingency) Table | 494 | ||
| Statistics in Action: The Case of the Ghoulish Transplant Tissue | 474 | ||
| Using Technology: MINITAB: Categorized Data Analysis | 520 | ||
| TI-83/TI-84 Plus Graphing Calculator:Categorical Data Analyses | 521 | ||
| Chapter 9 Simple Linear Regression | 523 | ||
| 9.1 Probabilistic Models | 525 | ||
| 9.2 Fitting The Model: The Least Squares Approach | 529 | ||
| 9.3 Model Assumptions | 542 | ||
| 9.4 Assessing The Utility of the Model: Making Inferences About The Slope b1 | 547 | ||
| 9.5 The Coefficients of Correlation and Determination | 556 | ||
| 9.6 Using the Model for Estimation and Prediction | 566 | ||
| 9.7 A Complete Example | 574 | ||
| 9.8 A Nonparametric Test for Correlation (Optional) | 578 | ||
| Statistics in Action: Can “Dowsers” Really Detect Water? | 524 | ||
| Using Technology: MINITAB: Simple Linear Regression | 597 | ||
| TI-83/TI-84 Plus Graphing Calculator: Simple Linear Regression | 599 | ||
| Appendix A: Summation Notation | 601 | ||
| Appendix B: Tables | 603 | ||
| Table I Binomial Probabilities | 604 | ||
| Table II Normal Curve Areas | 608 | ||
| Table III Critical Values of t | 609 | ||
| Table IV Critical Values of x2 | 610 | ||
| Table V Critical Values of TL and TU for the Wilcoxon Rank Sum Test | 612 | ||
| Table VI Critical Values of T0 in the Wilcoxon Signed Rank Test | 613 | ||
| Table VII Percentage Points of the F-Distribution, a = .10 | 614 | ||
| Table VIII Percentage Points of the F-Distribution, a = .05 | 616 | ||
| Table IX Percentage Points of the F-Distribution, a = .025 | 618 | ||
| Table X Percentage Points of the F-Distribution, a = .01 | 620 | ||
| Table XI Critical Values of Spearman’s Rank Correlation Coefficient | 622 | ||
| Appendix C: Calculation Formulas for Analysis of Variance (independent Sampling) | 623 | ||
| Short Answers to Selected Odd-Numbered Exercises | 624 | ||
| Index | 631 | ||
| Credits | 636 | ||
| Selected Formulas | 638 | ||
| Back Cover | 648 |