Description
Book SynopsisNorean R. Sharpe, PhD, is Dean and the Joseph H. and Maria C. Schwartz Distinguished Chair at The Peter J. Tobin College of Business at St. John's University. As the chief academic officer of the Tobin College of Business, she is responsible for the curriculum for 2500 undergraduate business majors and 600 graduate students in one of seven MS/MBA programs, all supported by more than 150 faculty and staff on the Manhattan; Queens; Staten Island; and Rome, Italy campuses. Within the Tobin College is the Center for Enterprise Risk Management, the Applied Finance Institute, and the Global Business Stewardship Center, as well as the acclaimed School of Risk Management, Insurance, and Actuarial Science.
Dr. Sharpe is an accomplished scholar, with 30 years of teaching experience at Yale University, Bowdoin College, Babson College, and Georgetown University -- and with more than 30 scholarly publications
Table of Contents
Brief Contents PART I: EXPLORING AND COLLECTING DATA
- Data and Decisions (H&M)
- Visualizing and Describing Categorical Data (Dalia Research)
- Describing, Displaying, and Visualizing Quantitative Data (AIG)
- Correlation and Linear Regression (Zillow.com)
PART II: MODELING AND PROBABILITY
- Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax)
- Random Variables and Probability Models (Metropolitan Life Insurance Company)
- The Normal and Other Continuous Distributions (The NYSE)
PART III: GATHERING DATA
- Data Sources: Observational Studies and Surveys (Roper Polls)
- Data Sources: Experiments (Capital One)
PART IV: INFERENCE FOR DECISION MAKING
- Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
- Confidence Intervals for Means (Guinness & Co.)
- Testing Hypotheses (Casting Ingots)
- More About Tests and Intervals (Traveler’s Insurance)
- Comparing Two Means (Visa Global Organization)
- Inference for Counts: Chi-Square Tests (SAC Capital)
PART V: MODELS FOR DECISION MAKING
- Inference for Regression (Nambé Mills)
- Understanding Residuals (Kellogg’s)
- Multiple Regression (Zillow.com)
- Building Multiple Regression Models (Bolliger and Mabillard)
- Time Series Analysis (Whole Foods Market®)
PART VI: ANALYTICS
- Introduction to Big Data and Data Mining (Paralyzed Veterans of America)
PART VII: ONLINE TOPICS
- Quality Control (Sony)
- Nonparametric Methods (i4cp)
- Decision Making and Risk (Data Description, Inc.)
- Analysis of Experiments and Observational Studies
Appendix A. Answers Appendix B. Tables and Selected Formulas Appendix C. Credits
