Statistics for business and economics / James T. McClave, P. George Benson, Terry Sincich.

Includes bibliographical references (pages 1017-1021) and index.

Statistics, Data, and Statistical Thinking -- The Science of Statistics -- Types of Statistical Applications in Business -- Fundamental Elements of Statistics -- Processes (Optional) -- Types of Data -- Quality Improvement: U.S. Firms Respond to the Challenge from Japan -- Collecting Data -- The Role of Statistics in Managerial Decision-Making -- A 20/20 View of Survey Results: Fact or Fiction? -- Methods for Describing Sets of Data -- Describing Qualitative Data -- Pareto Analysis -- Graphical Methods for Describing Quantitative Data -- Summation Notation -- Numerical Measures of Central Tendency -- Numerical Measures of Variability -- Interpreting the Standard Deviation -- Numerical Measures of Relative Standing -- Methods for Detecting Outliers (Optional) -- Graphing Bivariate Relationships (Optional) -- The Time Series Plot (Optional) -- Distorting the Truth with Descriptive Techniques -- Car and Driver's "Road Test Digest" -- Real-World Case: The Kentucky Milk Case--Part I (A Case Covering Chapters 1 and 2) -- Probability -- Events, Sample Spaces, and Probability -- 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 -- Lottery Buster -- Discrete Random Variables -- Two Types of Random Variables -- Probability Distributions for Discrete Random Variables -- Expected Values of Discrete Random Variables -- Portfolio Selection.

This introduces the world of data collection and analysis in Real-World business settings using an applied, hands-on approach that engages and stimulates students.