
Statistics for Business and Economics, 7/e
James T. McClave, University of Florida Published November, 1997 by Prentice Hall Engineering/Science/Mathematics
 
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NEW—Chapter 10 — includes expanded coverage of correlation — which continues the emphasis, from Ch. 2, on bivariate linear relationships.
NEW—Chapter 12 — offers new/revised coverage of modelbuilding:
NEW—Contains six Internet Labs designed to help students retrieve and download raw data from the internet for analysis. NEW—Contains 60% new or revised examples and exercises — featuring real business data from 1990 to 1996. NEW—Adds a Chapterend Review to each chapter:
Provides “We're We've Been . . . We're Going” chapter openers — with quick reviews of how information learned previously applies to the chapter at hand and how the chapter topics fit into students' growing understanding of statistical inference. Includes Footnotes that allow additional flexibility in the mathematical and theoretical level at which the material is presented. They:
Each chapter concludes with a Quick Review.
The Science of Statistics. Types of Statistical Applications in Business. Fundamental Elements of Statistics. Processes (Optional). Types of Data. STATISTICS IN ACTION: Quality Improvement: U.S. Firms Respond to the Challenge from Japan. Collecting Data. The Role of Statistics in Managerial DecisionMaking. STATISTICS IN ACTION: A 20/20 View of Survey Results: Fact or Fiction. 2. Methods for Describing Sets of Data. Describing Qualitative Data. STATISTICS IN ACTION: Pareto Analysis. Graphical Methods for Describing Quantitative Data. The Time Series Plot (Optional). Summation Notation. Numerical Measures of Central Tendency. Numerical Measures of Variability. Interpreting the Standard Deviation. Numerical Measures of Relative Standing. Quartiles and Box Plots (Optional). Graphing Bivariate Relationships (Optional). Distorting the Truth with Descriptive Techniques. STATISTICS IN ACTION: Car and Driver's “Road Test Digest.” Quick Review. SHOWCASE: The Kentucky Milk Case — Part I. INTERNET LAB: Accessing and Summarizing Business and Economics Data Maintained by the U.S. Government. 3. Probability. Events, Sample Spaces, and Probability. STATISTICS IN ACTION: Game Show Strategy: To Switch or Not to Switch. Unions and Intersections. Complementary Events. The Additive Rule and Mutually Exclusive Events. Conditional Probability. The Multiplicative Rule and Independent Events. Random Sampling. STATISTICS IN ACTION: Lottery Buster. 4. Discrete Random Variables. Two Types of Random Variables. Probability Distributions for Discrete Random Variables. Expected Values of Discrete Random Variables. STATISTICS IN ACTION: Portfolio Selection. The Space Shuttle Challenger: Catastrophe in Space. The Binomial Random Variable. The Poisson Random Variable (Optional). 5. Continuous Random Variables. Continuous Probability Distributions. The Uniform Distribution (Optional). The Normal Distribution. STATISTICS IN ACTION: IQ, Economic Mobility , and the Bell Curve Approximating a Binomial Distribution with a Normal Distribution. The Exponential Distribution (Optional). STATISTICS IN ACTION: Queuing Theory. 6. Sampling Distributions. The Concept of Sampling Distributions. Properties of Sampling Distributions: Unbiased and Minimum Variance. STATISTICS IN ACTION: Reducing Investment Risk Through Diversification. The Sampling Distribution of the Sample Mean. STATISTICS IN ACTION: The Insomnia Pill. Quick Review. SHOWCASE: The Furniture Fire Case. INTERNET LAB: Analyzing Monthly Business Startups. 7. Inferences Based on a Single Sample: Estimation with Confidence Intervals. LargeSample Confidence Interval for a Population Mean. SmallSample Confidence Interval for a Population Mean. STATISTICS IN ACTION: Scallops, Sampling, and the Law. LargeSample Confidence Interval for a Population Proportion. Determining the Sample Size. STATISTICS IN ACTION: Is Caffeine Addictive? Finite Population Correction for Simple Random Sampling (Optional). Sample Survey Designs. STATISTICS IN ACTION: Sampling Error versus Nonsampling Error. 8. Inferences Based on a Single Sample: Tests of Hypothesis. The Elements of a Test of Hypothesis. STATISTICS IN ACTION: Statistics Is Murder! LargeSample Test of Hypothesis About a Population Mean. STATISTICS IN ACTION: Statistical Quality Control, Part I. Observed Significance Levels: 9. Inferences Based an Two Samples: Confidence Intervals and Tests of Hypotheses. Comparing Two Population Means: Independent Sampling. STATISTICS IN ACTION: The Effect of SelfManaged Work Teams on Family Life. Comparing Two Population Means: Paired Difference Experiments. Comparing Two Population Proportions: Independent Sampling. Determining the Sample Size for Comparing Means and Proportions. STATISTICS IN ACTION: Unpaid Overtime and the Fair Labor Standards Act. Comparing Two Population Variances: Independent Sampling... SHOWCASE: The Kentucky Milk Case — Part II. INTERNET LAB: Choosing Between Economic Indicators. 10. Simple Linear Regression. Probabilistic Models. Fitting the Model: The Least Squares Approach. Model Assumptions. An Estimator of o^2. Assessing the Utility of the Model: Making Inferences about the Slope 11. Multiple Regression. Multiple Regression: The Model and the Procedure. Fitting the Model: The Least Squares Approach. Model Assumptions. Inferences About the 12. Model Building. Introduction. The Two Types of Independent Variables: Quantitative and Qualitative. Models with a Single Quantitative Independent Variable. Models with Two or More Quantitative Independent Variables. Testing Portions of a Model. Models with One Qualitative Independent Variable. Comparing the Slopes of Two or More Lines. Comparing Two or More Response Curves. STATISTICS IN ACTION: Forecasting Peak Hour Traffic Volume. Stepwise Regression. Quick Review. SHOWCASE: The Cando Sales Case. INTERNET LAB: Using the Consumer Price Index in Business Forecasts of Labor, Wages, and Compensation. 13. Methods for Quality Improvement. Quality, Processes, and Systems. STATISTICS IN ACTION: Deming's 14 Points. Statistical Control. The Logic of Control Charts. A Control Chart for Monitoring the Mean of a Process: The 14. Time Series: Descriptive Analyses, Models, and Forecasting. Descriptive Analysis: Index Numbers. STATISTICS IN ACTION: The Consumer Price Index: CPIU and CPIW. Descriptive Analysis: Exponential Smoothing. Time Series Components. Forecasting: Exponential Smoothing. Forecasting Trends: The HoltWinters Model (Optional). Measuring Forecast Accuracy: MAD and RMSE. Forecasting Trends: Simple Linear Regression. STATISTICS IN ACTION: Forecasting the Demand for Emergency Room Services. Seasonal Regression Models. Autocorrelation and the DurbinWatston test. Quick Review. SHOWCASE: The Gasket Manufacturing Case. INTERNET LAB: Quality Management Outside of the Manufacturing Operation. 15. Design of Experiments and Analysis of Variance. Elements of a Designed Experiment. The Completely Randomized Design: Single Factor. Multiple Comparisons of Means. STATISTICS IN ACTION: Is Therapy the New “Diet Pill” for Binge Eaters? Factorial Experiments. STATISTICS IN ACTION: Improving a Ground Meat Canning Process Through Experimental Design. Using Regression for ANOVA (Optional). 16. Nonparametric Statistics. Introduction. Single Population Inferences: The Sign Test. Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples. Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment. STATISTICS IN ACTION: Reanalyzing the Scallop Weight Data. The KruskalWallis HTest for a Completely Randomized Design. STATISTICS IN ACTION: Taxpayers versus the IRS: Selecting the Trial Court. Spearman's Rank Correlation Coefficient. 17. The ChiSquare Test and the Analysis of Contingency Tables. OneDimensional Count Data: The Multinomial Distribution. Contingency Tables. STATISTICS IN ACTION: Ethics in Computer Technology and Use. A Word of Caution About ChiSquare Tests. SHOWCASE: Discrimination in the Workplace. INTERNET LAB: Sampling and Analyzing NYSE Stock Quotes. 18. Decision Analysis. Introduction. Three Types of Decision Problems. DecisionMaking Under Uncertainty. Basic Concepts. Two Ways of Expressing Outcomes: Payoffs and Opportunity Losses. Characterizing the Uncertainty in DecisionProblems. Solving the Decision Problem Using the Expected Payoff Criterion. STATISTICS IN ACTION: Evaluating Uncertainty in Research and Development. The Expected Utility Criterion. Classifying DecisionMakers by Their Utility Functions. Revising State of Nature Probabilities: Bayes' Rule. Solving Decision Problems Using Posterior Probalilitics. The Expected Value of Sample Information: Preposterior Analysis. STATISTICS IN ACTION: Hurricanes: To Seed or Not to Seed? Appendix A: Basic Counting Rules. Appendix B: Tables. Appendix C: Calculation Formulas for Analysis of Variance. Answers to Selected Exercises. References. Index.
