| Preface |
|
ix | |
|
CHAPTER 1 Statistics, Data, and Statistical Thinking |
|
|
1 | (24) |
|
1.1 The Science of Statistics |
|
|
2 | (1) |
|
1.2 Types of Statistical Applications in Business |
|
|
2 | (2) |
|
1.3 Fundamental Elements of Statistics |
|
|
4 | (5) |
|
|
|
9 | (3) |
|
|
|
12 | (3) |
|
STATISTICS IN ACTION 1.1 Quality Improvement: U.S. Firms Respond to the Challenge from Japan |
|
|
13 | (2) |
|
|
|
15 | (2) |
|
1.7 The Role of Statistics in Managerial Decision-Making |
|
|
17 | (8) |
|
STATISTICS IN ACTION 1.2 A 20/20 View of Survey Results: Fact or Fiction? |
|
|
18 | (3) |
|
|
|
21 | (4) |
|
CHAPTER 2 Methods for Describing Sets of Data |
|
|
25 | (86) |
|
2.1 Describing Qualitative Data |
|
|
26 | (9) |
|
STATISTICS IN ACTION 2.1 Pareto Analysis |
|
|
31 | (4) |
|
2.2 Graphical Methods for Describing Quantitative Data |
|
|
35 | (14) |
|
2.3 The Time Series Plot (Optional) |
|
|
49 | (3) |
|
|
|
52 | (1) |
|
2.5 Numerical Measures of Central Tendency |
|
|
53 | (10) |
|
2.6 Numerical Measures of Variability |
|
|
63 | (6) |
|
2.7 Interpreting the Standard Deviation |
|
|
69 | (7) |
|
2.8 Numerical Measures of Relative Standing |
|
|
76 | (7) |
|
2.9 Quartiles and Box Plots (Optional) |
|
|
83 | (7) |
|
2.10 Graphing Bivariate Relationship (Optional) |
|
|
90 | (3) |
|
2.11 Distorting the Truth with Descriptive Techniques |
|
|
93 | (18) |
|
STATISTICS IN ACTION 2.2 Car & Driver's "Road Test Digest" |
|
|
93 | (5) |
|
|
|
98 | (9) |
|
SHOWCASE The Kentucky Milk Case--Part I |
|
|
107 | (2) |
|
INTERNET LAB Accessing and Summarizing Business and Economic Data Maintained by the U.S. Government |
|
|
109 | (2) |
|
|
|
111 | (50) |
|
3.1 Events, Sample Spaces, and Probability |
|
|
112 | (14) |
|
STATISTICS IN ACTION 3.1 Game Show Strategy: To Switch or Not to Switch |
|
|
122 | (4) |
|
3.2 Unions and Intersections |
|
|
126 | (2) |
|
|
|
128 | (1) |
|
3.4 The Additive Rule and Mutually Exclusive Events |
|
|
129 | (6) |
|
3.5 Conditional Probability |
|
|
135 | (3) |
|
3.6 The Multiplicative Rule and Independent Events |
|
|
138 | (10) |
|
|
|
148 | (13) |
|
STATISTICS IN ACTION 3.2 Lottery Buster |
|
|
151 | (2) |
|
|
|
153 | (8) |
|
CHAPTER 4 Discrete Random Variables |
|
|
161 | (40) |
|
4.1 Two Types of Random Variables |
|
|
162 | (3) |
|
4.2 Probability Distributions for Discrete Random Variables |
|
|
165 | (5) |
|
4.3 Expected Values of Discrete Random Variables |
|
|
170 | (8) |
|
STATISTICS IN ACTION 4.1 Portfolio Selection |
|
|
174 | (13) |
|
STATISTICS IN ACTION 4.2 The Space Shuttle Challenger: Catastrophe in Space |
|
|
187 | |
|
4.4 The Binomial Random Variable |
|
|
178 | (12) |
|
4.5 The Poisson Random Variable (Optional) |
|
|
190 | (11) |
|
|
|
195 | (6) |
|
CHAPTER 5 Continuous Random Variables |
|
|
201 | (38) |
|
5.1 Continuous Probability Distributions |
|
|
202 | (1) |
|
5.2 The Uniform Distribution (Optional) |
|
|
203 | (4) |
|
5.3 The Normal Distribution |
|
|
207 | (14) |
|
STATISTICS IN ACTION 5.1 IQ, Economic Mobility, and the Bell Curve |
|
|
216 | (5) |
|
5.4 Approximating a Binomial Distribution with a Normal Distribution |
|
|
221 | (6) |
|
5.5 The Exponential Distribution (Optional) |
|
|
227 | (12) |
|
STATISTICS IN ACTION 5.2 Queueing Theory |
|
|
230 | (3) |
|
|
|
233 | (6) |
|
CHAPTER 6 Sampling Distributions |
|
|
239 | (30) |
|
6.1 The Concept of Sampling Distributions |
|
|
240 | (7) |
|
6.2 Properties of Sampling Distributions: Unbiasedness and Minimum Variance |
|
|
247 | (5) |
|
STATISTICS IN ACTION 6.1 Reducing Investment Risk Through Diversification |
|
|
250 | (2) |
|
6.3 The Sampling Distribution of the Sample Mean |
|
|
252 | (17) |
|
STATISTICS IN ACTION 6.2 The Insomnia Pill |
|
|
258 | (3) |
|
|
|
261 | (6) |
|
SHOWCASE The Furniture Fire Case |
|
|
267 | (1) |
|
INTERNET LAB Analyzing Monthly Business Start-ups |
|
|
268 | (1) |
|
CHAPTER 7 Inferences Based on a Single Sample: Estimation with Confidence Intervals |
|
|
269 | (48) |
|
7.1 Large-Sample Confidence Interval for a Population Mean |
|
|
270 | (8) |
|
7.2 Small-Sample Confidence Interval for a Population Mean |
|
|
278 | (10) |
|
STATISTICS IN ACTIONS 7.1 Scallops, Sampling, and the Law |
|
|
284 | (4) |
|
7.3 Large-Sample Confidence Interval for a Population Proportion |
|
|
288 | (5) |
|
7.4 Determining the Sample Size |
|
|
293 | (8) |
|
STATISTICS IN ACTION 7.2 Is Caffeine Addictive? |
|
|
299 | (2) |
|
7.5 Finite Population Correction for Simple Random Sampling (Optional) |
|
|
301 | (3) |
|
7.6 Sample Survey Designs (Optional) |
|
|
304 | (13) |
|
STATISTICS IN ACTION 7.3 Sampling Error Versus Nonsampling Error |
|
|
307 | (2) |
|
|
|
309 | (8) |
|
CHAPTER 8 Inferences Based on a Single Sample: Tests of Hypothesis |
|
|
317 | (50) |
|
8.1 The Elements of a Test of Hypothesis |
|
|
318 | (6) |
|
STATISTICS IN ACTION 8.1 Statistics Is Murder! |
|
|
322 | (2) |
|
8.2 Large-Sample Test of Hypothesis About a Population Mean |
|
|
324 | (8) |
|
STATISTICS IN ACTION 8.2 Statistical Quality Control, Part I |
|
|
328 | (4) |
|
8.3 Observed Significance Levels: p-Values |
|
|
332 | (6) |
|
8.4 Small-Sample Test of Hypothesis About a Population Mean |
|
|
338 | (7) |
|
8.5 Large-Sample Test of Hypothesis About a Population Proportion |
|
|
345 | (7) |
|
STATISTICS IN ACTION 8.3 Statistical Quality Control, Part II |
|
|
349 | (3) |
|
8.6 Calculating Type II Error Probabilities: More About XXX (Optional) |
|
|
352 | (15) |
|
|
|
361 | (6) |
|
CHAPTER 9 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses |
|
|
367 | (62) |
|
9.1 Comparing Two Population Means: Independent Sampling |
|
|
368 | (19) |
|
STATISTICS IN ACTION 9.1 The Effect of Self-Managed Work Teams on Family Life |
|
|
378 | (9) |
|
9.2 Comparing Two Population Means: Paired Difference Experiments |
|
|
387 | (10) |
|
9.3 Comparing Two Population Proportions: Independent Sampling |
|
|
397 | (7) |
|
9.4 Determining the Sample Size for Comparing Means or Proportions |
|
|
404 | (4) |
|
STATISTICS IN ACTION 9.2 Unpaid Overtime and the Fair Labor Standards Act |
|
|
406 | (2) |
|
9.5 Comparing Two Population Variances: Independent Sampling |
|
|
408 | (21) |
|
|
|
418 | (9) |
|
SHOWCASE The Kentucky Milk Case--Part II |
|
|
427 | (1) |
|
INTERNET LAB Choosing Between Economic Indicators |
|
|
428 | (1) |
|
CHAPTER 10 Simple Linear Regression |
|
|
429 | (70) |
|
10.1 Probabilistic Models |
|
|
430 | (3) |
|
10.2 Fitting the Model: The Least Squares Approach |
|
|
433 | (11) |
|
|
|
444 | (1) |
|
10.4 An Estimator of XXX(2) |
|
|
445 | (6) |
|
10.5 Assessing the Utility of the Model: Making Inferences About the Slope XXX(1) |
|
|
451 | (10) |
|
STATISTICS IN ACTION 10.1 New Jersey Banks--Serving Minorities? |
|
|
454 | (7) |
|
10.6 The Coefficient of Correlation |
|
|
461 | (3) |
|
10.7 The Coefficient of Determination |
|
|
464 | (8) |
|
10.8 Using the Model for Estimation and Prediction |
|
|
472 | (12) |
|
STATISTICS IN ACTION 10.2 Statistical Assessment of Damage to Bronx Bricks |
|
|
478 | (6) |
|
10.9 Simple Linear Regression: An Example |
|
|
484 | (15) |
|
|
|
487 | (12) |
|
CHAPTER 11 Multiple Regression |
|
|
499 | (78) |
|
11.1 Multiple Regression: The Model and the Procedure |
|
|
500 | (1) |
|
11.2 Fitting the Model: The Least Squares Approach |
|
|
501 | (3) |
|
|
|
504 | (2) |
|
11.4 Inferences About the XXX Parameters |
|
|
506 | (11) |
|
11.5 Checking the Usefulness of a Model: R(2) and the Analysis of Variance F-Test |
|
|
517 | (15) |
|
11.6 Using the Model for Estimation and Prediction |
|
|
532 | (2) |
|
11.7 Multiple Regression: An Example |
|
|
534 | (3) |
|
11.8 Residual Analysis: Checking the Regression Assumptions |
|
|
537 | (13) |
|
STATISTICS IN ACTION 11.1 Predicting the Price of Vintage Red Bordeaux Wine |
|
|
538 | (12) |
|
11.9 Some Pitfalls: Estimability, Multicollinearity, and Extrapolation |
|
|
550 | (27) |
|
STATISTICS IN ACTION 11.2 "Wringing" The Bell Curve |
|
|
553 | (9) |
|
|
|
562 | (15) |
|
CHAPTER 12 Model Building |
|
|
577 | (84) |
|
|
|
578 | (1) |
|
12.2 The Two Types of Independent Variables: Quantitative and Qualitative |
|
|
579 | (2) |
|
12.3 Models with a Single Quantitative Independent Variable |
|
|
581 | (9) |
|
12.4 Models with Two or More Quantitative Independent Variables |
|
|
590 | (8) |
|
12.5 Testing Portions of a Model |
|
|
598 | (12) |
|
12.6 Models with One Qualitative Independent Variable |
|
|
610 | (9) |
|
12.7 Comparing the Slopes of Two or More Lines |
|
|
619 | (12) |
|
12.8 Comparing Two or More Response Curves |
|
|
631 | (12) |
|
STATISTICS IN ACTION 12.1 Forecasting Peak-Hour Traffic Volume |
|
|
633 | (10) |
|
|
|
643 | (18) |
|
|
|
651 | (7) |
|
SHOWCASE The Condo Sales Case |
|
|
658 | (2) |
|
INTERNET LAB Using the Consumer Price Index in Business Forecasts of Labor, Wages, and Compensation |
|
|
660 | (1) |
|
CHAPTER 13 Methods for Quality Improvement |
|
|
661 | (72) |
|
13.1 Quality, Processes, and Systems |
|
|
662 | (6) |
|
STATISTICS IN ACTION 13.1 Deming's 14 Points |
|
|
666 | (2) |
|
|
|
668 | (8) |
|
13.3 The Logic of Control Charts |
|
|
676 | (4) |
|
13.4 A Control Chart for Monitoring the Mean of a Process: The x-Chart |
|
|
680 | (17) |
|
13.5 A Control Chart for Monitoring the Variation of a Process: The R-Chart |
|
|
697 | (9) |
|
13.6 A Control Chart for Monitoring the Proportion of Defectives Generated by a Process: The p-Chart |
|
|
706 | (9) |
|
13.7 Diagnosing the Causes of Variation (Optional) |
|
|
715 | (5) |
|
STATISTICS IN ACTION 13.2 Quality Control in a Service Operation |
|
|
719 | (1) |
|
13.8 Capability Analysis (Optional) |
|
|
720 | (13) |
|
|
|
727 | (6) |
|
CHAPTER 14 Time Series: Descriptive Analyses, Models, and Forecasting |
|
|
733 | (66) |
|
14.1 Descriptive Analysis: Index Numbers |
|
|
734 | (14) |
|
STATISTICS IN ACTION 14.1 The Consumer Price Index: CPI-U and CPI-W |
|
|
743 | (5) |
|
14.2 Descriptive Analysis: Exponential Smoothing |
|
|
748 | (5) |
|
14.3 Time Series Components |
|
|
753 | (1) |
|
14.4 Forecasting: Exponential Smoothing |
|
|
754 | (3) |
|
14.5 Forecasting Trends: The Holt-Winters Forecasting Model (Optional) |
|
|
757 | (6) |
|
14.6 Measuring Forecast Accuracy: MAD and RMSE |
|
|
763 | (3) |
|
14.7 Forecasting Trends: Simple Linear Regression |
|
|
766 | (4) |
|
STATISTICS IN ACTION 14.2 Forecasting the Demand for Emergency Room Services |
|
|
770 | (1) |
|
14.8 Seasonal Regression Models |
|
|
770 | (8) |
|
14.9 Autocorrelation and the Durbin-Watson Test |
|
|
778 | (21) |
|
|
|
786 | (7) |
|
SHOWCASE The Gasket Manufacturing Case |
|
|
793 | (4) |
|
INTERNET LAB Quality Management Outside of Manufacturing Operation |
|
|
797 | (2) |
|
CHAPTER 15 Design of Experiments and Analysis of Variance |
|
|
799 | (68) |
|
15.1 Elements of a Designed Experiment |
|
|
800 | (5) |
|
15.2 The Completely Randomized Design: Single Factor |
|
|
805 | (16) |
|
15.3 Multiple Comparisons of Means |
|
|
821 | (8) |
|
STATISTICS IN ACTION 15.1 Is Therapy the New "Diet Pill" for Binge Eaters? |
|
|
825 | (4) |
|
15.4 Factorial Experiments |
|
|
829 | (17) |
|
STATISTICS IN ACTION 15.2 Improving a Ground Meat Canning Process Through Experimental Design |
|
|
840 | (6) |
|
15.5 Using Regression Analysis for ANOVA (Optional) |
|
|
846 | (11) |
|
|
|
857 | (10) |
|
CHAPTER 16 Nonparametric Statistics |
|
|
867 | (46) |
|
|
|
868 | (1) |
|
16.2 Single Population Inferences: The Sign Test |
|
|
869 | (5) |
|
16.3 Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples |
|
|
874 | (7) |
|
16.4 Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment |
|
|
881 | (8) |
|
STATISTICS IN ACTION 16.1 Reanalyzing the Scallop Weight Data |
|
|
886 | (3) |
|
16.5 The Kruskal-Wallis H-Test for a Completely Randomized Design |
|
|
889 | (8) |
|
STATISTICS IN ACTION 16.2 Taxpayers Versus the IRS: Selecting the Trial Court |
|
|
893 | (4) |
|
16.6 Spearman's Rank Correlation Coefficient |
|
|
897 | (16) |
|
|
|
906 | (7) |
|
CHAPTER 17 The Chi-Square Test and the Analysis of Contingency Tables |
|
|
913 | (34) |
|
17.1 One-Dimensional Count Data: The Multinomial Distribution |
|
|
914 | (7) |
|
|
|
921 | (14) |
|
STATISTICS IN ACTION 17.1 Ethics in Computer Technology and Use |
|
|
928 | (7) |
|
17.3 A Word of Caution About Chi-Square Tests |
|
|
935 | (12) |
|
|
|
935 | (9) |
|
SHOWCASE Discrimination in the Workplace |
|
|
944 | (2) |
|
INTERNET LAB Sampling and Analyzing NYSE Stock Quotes |
|
|
946 | (1) |
|
CHAPTER 18 Decision Analysis |
|
|
947 | (52) |
|
|
|
948 | (1) |
|
18.2 Three Types of Decision Problems |
|
|
949 | (2) |
|
18.3 Decision-Making Under Uncertainty: Basic Concepts |
|
|
951 | (4) |
|
18.4 Two Ways of Expressing Outcomes: Payoffs and Opportunity Losses |
|
|
955 | (4) |
|
18.5 Characterizing the Uncertainty in Decision Problems |
|
|
959 | (1) |
|
18.6 Solving the Decision Problem Using the Expected Payoff Criterion |
|
|
960 | (5) |
|
STATISTICS IN ACTION 18.1 Evaluating Uncertainty in Research and Development |
|
|
961 | (4) |
|
18.7 The Expected Utility Criterion |
|
|
965 | (4) |
|
18.8 Classifying Decision-Makers by Their Utility Functions |
|
|
969 | (5) |
|
18.9 Revising State of Nature Probabilities: Bayes' Rule |
|
|
974 | (5) |
|
18.10 Solving Decision Problems Using Posterior Probabilities |
|
|
979 | (4) |
|
18.11 The Expected Value of Sample Information: Preposterior Analysis (Optional) |
|
|
983 | (16) |
|
STATISTICS IN ACTION 18.2 Hurricanes: To Seed or Not to Seed? |
|
|
989 | (4) |
|
|
|
993 | (6) |
| APPENDIX A Basic Counting Rules |
|
999 | (4) |
|
|
|
1003 | (33) |
| APPENDIX C Calculation Formulas for Analysis of Variance |
|
1036 | (2) |
| Answers to Selected Exercises |
|
1038 | (13) |
| References |
|
1051 | (6) |
| Index |
|
1057 | |
Shopping Cart
