The Resource Business statistics for competitive advantage with Excel 2010 : basics, model building, and cases, by Cynthia Fraser, (electronic resource)

Business statistics for competitive advantage with Excel 2010 : basics, model building, and cases, by Cynthia Fraser, (electronic resource)

Label
Business statistics for competitive advantage with Excel 2010 : basics, model building, and cases
Title
Business statistics for competitive advantage with Excel 2010
Title remainder
basics, model building, and cases
Statement of responsibility
by Cynthia Fraser
Creator
Contributor
Provider
Subject
Language
eng
Summary
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
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Fraser, Cynthia
Image bit depth
0
LC call number
HD30.23
LC item number
.F73 2012
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
http://library.link/vocab/subjectName
  • Commercial statistics
  • Mathematical statistics
  • Decision making
  • Statistics as Topic
  • Commercial statistics
  • Decision making
  • Mathematical statistics
Label
Business statistics for competitive advantage with Excel 2010 : basics, model building, and cases, by Cynthia Fraser, (electronic resource)
Instantiates
Publication
Note
Includes index
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Statistics for Decision Making and Competitive Advantage -- Describing Your Data -- Hypothesis Tests, Confidence Intervals and Simulation to Infer Population Characteristics and Differences -- Quantifying the Influence of Performance Drivers and Forecasting: Regression -- Marketing Sgementation 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
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (xvi, 469 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9781441998576
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)777214145
  • (OCoLC)ocn777214145
Label
Business statistics for competitive advantage with Excel 2010 : basics, model building, and cases, by Cynthia Fraser, (electronic resource)
Publication
Note
Includes index
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Statistics for Decision Making and Competitive Advantage -- Describing Your Data -- Hypothesis Tests, Confidence Intervals and Simulation to Infer Population Characteristics and Differences -- Quantifying the Influence of Performance Drivers and Forecasting: Regression -- Marketing Sgementation 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
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (xvi, 469 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9781441998576
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)777214145
  • (OCoLC)ocn777214145

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