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Business Statistics for Competitive Advantage with Excel 2019 and JMP : Basic, Model Building, Simulation and Cases / Cynthia Fraser

By: Material type: TextTextPublication details: Switzerland Springer Nature 2019Description: xii, 417p. : ill. ; 28cmISBN:
  • 9783030203733
Subject(s): DDC classification:
  • 23rd 519.5 FRA
Online resources:
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode
Text Book VIT-AP General Stacks 519.5 FRA (Browse shelf(Opens below)) Available MATH 019441
Reference Book VIT-AP General Stacks Reference 519.5 FRA (Browse shelf(Opens below)) Not for loan MATH 019376
Reference Book VIT-AP General Stacks Reference 519.5 FRA (Browse shelf(Opens below)) Not for loan MATH 019220

It includes Index Pages

Introduction

The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. Students learn to build models, produce statistics, and translate results into implications for decision makers.

The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods.

The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP
Keywords
Business Statistics Excel Excel 2019 Financial Statistics Regression Modeling Statistics for business Nonlinear regression Inference JMP Simulation Forecasting Conjoint Analysis

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