Business Statistics for Competitive Advantage with Excel 2016 Basics, Model Building, Simulation and Cases /
The revised Fourth Edition of this popular textbook is redesigned with Excel 2016 to encourage business students to develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2016 with s...
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Language: | English |
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Springer International Publishing : Imprint: Springer,
2016.
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Edition: | 1st ed. 2016. |
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Online Access: | https://doi.org/10.1007/978-3-319-32185-1 |
Table of Contents:
- Statistics for Decision Making and Competitive Advantage
- Describing your Data
- Hypothesis Tests, Confidence Intervals to Infer Population Characteristics and Differences
- Simulation to Infer Future Performance Levels Given Assumptions
- Simple Regression for Long Range Forecasts
- Consolidating Multiple Naïve Forecasts with Monte Carlo
- Presenting Statistical Analysis Results to Management
- 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
- Indicator Variables
- Model Building and Forecasting with Multicollinear Time Series
- Nonlinear Multiple Regression Models
- Nonlinear Explanatory Multiple Regression Models.