Business Statistics for Competitive Advantage with Excel 2010 (Record no. 100602)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-1-4419-9857-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083234.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120208s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441998576
-- 978-1-4419-9857-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4419-9857-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code K
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS061000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 330.015195
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Fraser, Cynthia.
Relator term author.
245 10 - TITLE STATEMENT
Title Business Statistics for Competitive Advantage with Excel 2010
Medium [electronic resource] :
Remainder of title Basics, Model Building, and Cases /
Statement of responsibility, etc by Cynthia Fraser.
250 ## - EDITION STATEMENT
Edition statement 2nd ed. 2012.
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 469p. 357 illus., 354 illus. in color.
Other physical details online resource.
336 ## -
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-- computer
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338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics
General subdivision Statistics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Business/Economics/Mathematical Finance/Insurance.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics and Computing/Statistics Programs.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics, general.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441998569
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-9857-6
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