Applied Statistics. in Business and Economics. Third Edition. David P. Doane. Lori E. Seward. McGraw-Hill Irwin. Oakland University
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1 Applied Statistics in Business and Economics Third Edition David P. Doane Oakland University Lori E. Seward University of Colorado McGraw-Hill Irwin
2 BRIEF CONTENTS CHAPTER ONE Overview of Statistics 2 CHAPTER THIRTEEN Multiple Regression 544 CHAPTER TWO Data Collection 22 CHAPTER THREE Describing Data Visually 58 CHAPTER FOUR Descriptive Statistics 112 CHAPTER FIVE Probability 172 CHAPTER SIX Discrete Probability Distributions 214 CHAPTER SEVEN Continuous Probability Distributions 254 CHAPTER EIGHT Sampling Distributions and Estimation 294 CHAPTER NINE One-Sample Hypothesis Tests 340 CHAPTER TEN Two-Sample Hypothesis Tests 390 CHAPTER ELEVEN Analysis of Variance 438 CHAPTER TWELVE Simple Regression 488 CHAPTER FOURTEEN Time-Series Analysis 594 CHAPTER FIFTEEN Chi-Square Tests 642 CHAPTER SIXTEEN Nonparametric Tests 684 CHAPTER SEVENTEEN Quality Management 714 CHAPTER EIGHTEEN Simulation (Online Learning Center APPENDIXES A Binomial Probabilities 758 B Poisson Probabilities 760 C-1 Standard Normal Areas 763 C-2 Cumulative Standard Normal Distribution 764 D Student's t Critical Values 766 E Chi-Square Critical Values 767 F Critical Values of F 768 G Solutions to Odd-Numbered Exercises 776 H Answers to Exam Review Questions 801 I Writing and Presenting Reports 803 PHOTO CREDITS 808 INDEX 809 xxii
3 O CHAPTER ONE Overview of Statistics What Is Statistics? Why Study Statistics? Uses of Statistics Statistical Challenges Critical Thinking 14 Chapter Summary ; 17 Chapter Exercises 18 D CHAPTER TWO Data Collection Definitions Level of Measurement Time Series versus Cross-Sectional Data 2.4 Sampling Concepts Sampling Methods Data Sources Surveys 45 Chapter Summary Chapter Exercises D CHAPTER THREE Describing Data Visually Visual Description 59 i Dot Plots 61 Frequency Distributions and Histograms Excel Charts 74 Line Charts 77 Bar Charts 82 Scatter Plots 86 Tables 91 Pie Charts 95 i Deceptive Graphs Chapter Summary Chapter Exercises D CHAPTER FOUR Descriptive Statistics Numerical Description Central Tendency Dispersion Standardized Data Percentiles, Quartiles, and Box Plots Correlation and Covariance Grouped Data Skewness and Kurtosis 154 Chapter Summary 158 Chapter Exercises 160 Exam Review Questions for Chapters 1-4 D CHAPTER FIVE Probability Random Experiments Probability Rules of Probability Independent Events Contingency Tables Tree Diagrams Bayes'Theorem Counting Rules v 203 Chapter Summary 207 Chapter Exercises \ 208 CHAPTER SIX Discrete Probability Distributions Discrete Distributions ' Uniform Distribution Bernoulli Distribution Binomial Distribution Poisson Distribution Hypergeometric Distribution Geometric Distribution (Optional) Transformations of Random Variables (Optional) 244 Chapter Summary 247 Chapter Exercises 249 Q CHAPTER SEVEN Continuous Probability Distributions Describing a Continuous Distribution Uniform Continuous Distribution Normal Distribution Standard Normal Distribution Normal Approximations Exponential Distribution Triangular Distribution (Optional) 282 Chapter Summary 285 Chapter Exercises 287 Exam Review Questions for Chapters
4 Contents CHAPTER EIGHT Sampling Distributions and Estimation Sampling Variation Estimators and Sampling Distributions 8.3 Sample Mean and the Central Limit Theorem Confidence Interval for a Mean (/it) with Known a Confidence Interval for a Mean ([ ) with Unknown a 310 '* -, 8.6 Confidence Interval for a Proportion (n) 8.7 Sample Size Determination for a Mean 8.8 Sample Size Determination for a Proportion Confidence Interval for a Population Variance, a Chapter Summary 334 Chapter Exercises 335 D CHAPTER NINE One-Sample Hypothesis Tests Logic of Hypothesis Testing Statistical Hypothesis Testing Testing a Mean: Known Population Variance Testing a Mean: Unknown Population Variance Testing a Proportion Power Curves and OC Curves (Optional) 9.7 Tests for One Variance (Optional) 381 Chapter Summary 383 Chapter Exercises 385 CHAPTER TEN Two-Sample Hypothesis Tests Two-Sample Tests Comparing Two Means: Independent Samples Confidence Interval for the Difference of Two Means, \i x (i Comparing Two Means: Paired Samples Comparing Two Proportions Confidence Interval for the Difference of Two Proportions, n x - n Comparing Two Variances 417 Chapter Summary 425 Chapter Exercises 426 Exam Review Questions for Chapters CHAPTER ELEVEN Analysis of Variance Overview of ANOVA One-Factor ANOVA (Completely Randomized Model) Multiple Comparisons Tests for Homogeneity of Variances Two-Factor ANOVA without Replication (Randomized Block Model) Two-Factor ANOVA with Replication (Full Factorial Model) Higher Order ANOVA Models (Optional) 473 Chapter Summary 477 Chapter Exercises 478 CHAPTER TWELVE Simple Regression Visual Displays and Correlation Analysis Simple Regression Regression Terminology Ordinary Least Squares Formulas Tests for Significance Analysis of Variance: Overall Fit Confidence and Prediction Intervals for Y Residual Tests Unusual Observations Other Regression Problems 528 Chapter Summary 532 Chapter Exercises\ 535 CHAPTER THIRTEEN Multiple Regression Multiple Regression Assessing Overall Fit Predictor Significance Confidence Intervals for Y Binary Predictors Tests for Nonlinearity and Interaction Multicollinearity Violations of Assumptions Other Regression Topics 580 Chapter Summary 582 Chapter Exercises 584 Exam Review Questions for Chapters CHAPTER FOURTEEN Time-Series Analysis Time-Series Components Trend Forecasting Assessing Fit Moving Averages Exponential Smoothing Seasonality Index Numbers Forecasting: Final Thoughts 630 Chapter Summary 631 Chapter Exercises 633
5 Contents D CHAPTER FIFTEEN Chi-Square Tests Chi-Square Test for Independence Chi-Square Tests for Goodness-of-Fit 65,4 ^ 15.3 Uniform Goodness-of-Fit Test 656 -' 15.4 Poisson Goodness-of-Fit Test Normal Chi-Square Goodness-of-Fit Test ECDF Tests (Optional) 670 Chapter Summary 672 Chapter Exercises 674 % < ^ D CHAPTER SIXTEEN Nonparametric Tests Why Use Nonparametric Tests? One ; Sample Runs Test Wilcoxon Signed-Rank Test Mann-Whitney Test Kruskal-Wallis Test for Independent Samples Friedman Test for Related Samples Spearman Rank Correlation Test 702 Chapter Summary 706 Chapter Exercises 707 D CHAPTER SEVENTEEN Quality Management Quality and Variation Customer Orientation Behavioral Aspects of Quality Pioneers in Quality Management Quality Improvement Control Charts: Overview Control Charts for a Mean Control Charts for a Range Patterns in Control Charts Process Capability Other Control Charts Additional Quality Topics (Optional) 744 Chapter Summary 747 Chapter Exercises 749 CHAPTER EIGHTEEN Simulation (Online Learning Center APPENDIXES A Binomial Probabilities 758 B Poisson Probabilities 760 C-1 Standard Normal Areas 763 C-2 Cumulative Standard Normal Distribution 764 D Student's Critical Values 766 E Chi-Square Critical Values 767 F Critical Values of F 76S G Solutions to Odd-Numbered Exercises 776 H Answers to Exam Review Questions 801 I Writing and Presenting Reports 803 PHOTO CREDITS 808 INDEX 809
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