---nger | 144199856X | 2012 | PDF | 485 pages | 33.7 MB
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. This updated edition of the popular text helps business
students 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 2010 with shortcuts, and translate results into implications for
decision makers. The author emphasizes communicating results effectively
in plain English and with compelling graphics in the form of memos and
PowerPoints. Statistics, from basics to sophisticated models, are
illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity
analyses to illustrate how alternate scenarios can be compared.
Chapters include screenshots to make it easy to conduct analyses in
Excel 2010 with time-saving shortcuts expected in the business world.
PivotTables and PivotCharts, used frequently in businesses, are
introduced from the start. Monte Carlo simulation is introduced early,
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, autocorrelation 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, and a chapter
on logit regression models introduces models of market share or proportions. The Second
Edition includes more explanation of hypothesis tests and confidence
intervals, how t, F, and chi square distributions behave. business
statistics competitive advantage,
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