Managerial Statistics A Case-Based Approach

Name: Managerial Statistics A Case-Based Approach
Price: 25.64 USD
Availability: InStock
ISBN: 9780324226454

ISBN-10: 0324226454

ISBN-13: 9780324226454

Edition: 2006 (Student Manual, Study Guide, etc.)

Authors: Alvaro Sandroni, Boaz Moselle, Peter Klibanoff, Brett Saraniti

List price: $294.95

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Discover everything you need to prepare for success in business statistics today with this advanced, case-based approach to regression analysis. You'll begin by reviewing basic probability before moving into a strong topical coverage of hypothesis testing and regression analysis with an emphasis on relevant examples, business cases, and applications. Leading Harvard Business School cases and numerous end-of-chapter cases and problems written by the authors illustrate the use of statistics and regression analysis in business today.

Book details

List price: $294.95
Copyright year: 2006
Publisher: Cengage South-Western
Publication date: 11/7/2005
Binding: Hardcover
Pages: 256
Size: 8.10" wide x 10.10" long x 0.60" tall
Weight: 1.738
Language: English

Boaz Moselle is a former Assistant Professor of Managerial Economics and Decisions Sciences at the Kellogg Graduate School of Management, Northwestern University, Evanston, Illinois. He is currently Managing Director Corporate Strategy, OFGEM (Office of Gas and Electricity Markets), London, UK..




Introduction to Probability Distributions: The Double E Case



Hypothesis Testing: The Consumer Packaging Case



Introduction to Regression: The Autorama Case



Using Regression: The CAPM and Newspaper Cases


Case Insert 1 The Refrigerator Pricing Case: Introduction to Multiple Regression



Dummy and Slope-Dummy Variables: The California Strawberries and CEO Seek Cases



Graphical Analysis, Non-Linear Regression and Spurious Correlation: The Forestier Wine Case, Snowfall and Unemployment



Multiple Regression, Multicollinearity and the Generalized F-test: The Hot Dog Case


Case Insert 2 Colonial Broadcasting: Multiple Regression and Omitted Variable Bias



Non-Linear Regression, Logarithms and Heteroskedasticity: An Advertising Example, The Hot Dog Case Revisited



Time and Seasonality in Multiple Regression: The Dada Soda and Harmon Foods Cases


Case Insert 3 Nopane Advertising Case: Multiple Regression and Interaction Variables


Case Insert 4 The Baseball Case: Multiple Regression and Modeling Appendices. A Kstat Mini-Manual


Prediction Intervals


Correlation Review


Simple Properties Of Logarithms