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Business Statistics for Competitive Advantage with Excel 2016 - Basics, Model Building, Simulation and Cases (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R2,744
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Business Statistics for Competitive Advantage with Excel 2016 - Basics, Model Building, Simulation and Cases (Paperback, Softcover reprint of the original 1st ed. 2016)
Expected to ship within 10 - 15 working days
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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 shortcuts, and translate
results into implications for decision makers. The textbook
features new examples and assignments on global markets, including
cases featuring Chipotle and Costco. A number of examples focus on
business in emerging global markets with particular emphasis on
emerging markets in Latin America, China, and India. Results are
linked to implications for decision making with sensitivity
analyses to illustrate how alternate scenarios can be compared. The
author emphasises communicating results effectively in plain
English and with screenshots and compelling graphics in the form of
memos and PowerPoints. Chapters include screenshots to make it easy
to conduct analyses in Excel 2016. PivotTables and PivotCharts,
used frequently in business, are introduced from the start. The
Fourth Edition features Monte Carlo simulation in four chapters, as
a tool to illustrate the range of possible outcomes from decision
makers' assumptions and underlying uncertainties. Model building
with regression is presented as a process, adding levels of
sophistication, with chapters on multicollinearity and remedies,
forecasting and model validation, auto-correlation and remedies,
indicator variables to represent segment differences, and
seasonality, structural shifts or shocks in time series models.
Special applications in market segmentation and portfolio analysis
are offered, and an introduction to conjoint analysis is included.
Nonlinear models are motivated with arguments of diminishing or
increasing marginal response.
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