Business Statistics for Competitive Advantage with Excel 2013 Basics, Model Building, Simulation and Cases /

• Main Author: Fraser, Cynthia. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Edition: 3rd ed. 2013.
• Subjects: Statistics.; Mathematical statistics.; Economics > Statistics.; Economics.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistics and Computing/Statistics Programs.; Statistics, general.; Business/Management Science, general.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-7381-7

Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios.� To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. Th...

Table of Contents:

• Statistics for Decision Making and Competitive Advantage
• Describing Your Data Chapter
• Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences
• Quantifying the Influence of Performance Drivers and Forecasting: Regression
• Market Simulation and Segmentation with Descriptive Statistics, Inference, Hypothesis Tests, and Regression
• Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
• Association between Two Categorical Variables: Contingency Analysis with Chi Square
• Building Multiple Regression Models
• Model Building and Forecasting with Multicollinear Time Series
• Indicator Variables
• Nonlinear Multiple Regression Models
• Indicator Interactions for Segment Differences or Changes in Response
• Logit Regression for Bounded Responses
• Index.