Managerial Statistics A Case-Based Approach

ISBN-10: 0324226454
ISBN-13: 9780324226454
Edition: 2006 (Student Manual, Study Guide, etc.)
List price: $294.95 Buy it from $25.80
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Description: 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  More...

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Book details

List price: $294.95
Copyright year: 2006
Publisher: Cengage South-Western
Publication date: 11/7/2005
Binding: Hardcover
Pages: 256
Size: 8.00" wide x 10.00" long x 0.25" tall
Weight: 1.782
Language: English

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.

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

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