This text takes an integrated approach, and places emphasis on modeling and the application of pure methods rather than statistical techniques. This emphasis allows readers to learn how to solve business problems, not mathematical equations, and prepares them for their role as decision makers. All models and analyses in the book use Excel so readers make decisions without having to complete difficult calculations. The book is also accompanied by KaddStat, an easy-to-use add-in to Excel, which makes it easier to run complex statistical tests on Excel.
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This text takes an integrated approach and places emphasis on modeling and the application of pure methods rather than statistical techniques. This emphasis allows readers to learn how to solve business problems, not mathematical equations and prepares them for their role as decision makers. All models and analysis in the book use Excel so readers make decisions without having to complete difficult calculations. The book is also accompanied by an easy-to-use add-in to Excel, KaddStat, which makes it easier to run complex statistical tests on Excel.
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Most Helpful Customer Reviews
7 of 7 people found the following review helpful:
2.0 out of 5 stars
Difficult for the beginning stats student,
By A Customer
This review is from: Data, Statistics, and Decision Models with Excel (Paperback)
I have used this text in multiple sections of introductory statistics for MBA students, and I have found that it is difficult for the students to follow. Other business statistics texts provide far more easy to follow instruction (e.g., see Mason and Lind's book). This book is a bit too oriented toward the use of statistics in finance (especially for the student who may not have yet had his or her first finance or economics course). I originally adopted it for its integration of Excel as an analysis tool, but its use did not make up for the poor organization and presentation of topics. From the students' perspective -- hands down, they hate it.
3 of 3 people found the following review helpful:
5.0 out of 5 stars
Excellent Resources for Market Research Managers,
This review is from: Data, Statistics, and Decision Models with Excel (Paperback)
The book is well written and is easy to read. The chapters that talked about forecasting and statistical significance have allowed me to forecast my products accurately and have give me the opportunity to build a statistical model for my company. My colleagues and my director are very pleased with the results.
3 of 3 people found the following review helpful:
3.0 out of 5 stars
An adequate survey of applied quantitative methods.,
By A Customer
This review is from: Data, Statistics, and Decision Models with Excel (Paperback)
This textbook offers a survey of applications that rely on common quantitative business analysis. The algebra review in Appendix A is a good starting place for orienting readers to the marriage of fundamental algebra skills and business applications. A good text for upper-level or graduate business students.
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Inside This Book
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First Sentence:
This book focuses on quantitative decision models, particularly those describing how decisions should be made. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mullion lengths, vlookup command, feasible corner point, optimal corner point, optimal advertising level, deseasonalized value, estimated sigma, simple exponential smoothing model, first service call, column input cell, interpret this value, binomial probability mass function, population intercept, pulp brightness, isoprofit lines, minimal sample size, seismic test, sailboat model, tire mileage, population slope, seasonal index, consecutive arrivals, quantitative decision making, absolute percent error, sample standard error Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Sail Aweigh, Chris Owen, Excel's Solver, Add Trendline, Chart Wizard, Kerry Dugan, Sam Spade, Grand Total, Economy Prob, Hoosier Hoops, Marty Hoffman, Pat Carroll, Add Data, Clean Cut, Column Input Cell, Excel's Trendline, General Motors, Right-hand Actual, Average of Salary, Demand Medium, Eli Lilly, Excel's Correlation, Gerry Fuller, Kelly Schmit New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This book focuses on quantitative decision models, particularly those describing how decisions should be made. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mullion lengths, vlookup command, feasible corner point, optimal corner point, optimal advertising level, deseasonalized value, estimated sigma, simple exponential smoothing model, first service call, column input cell, interpret this value, binomial probability mass function, population intercept, pulp brightness, isoprofit lines, minimal sample size, seismic test, sailboat model, tire mileage, population slope, seasonal index, consecutive arrivals, quantitative decision making, absolute percent error, sample standard error Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Sail Aweigh, Chris Owen, Excel's Solver, Add Trendline, Chart Wizard, Kerry Dugan, Sam Spade, Grand Total, Economy Prob, Hoosier Hoops, Marty Hoffman, Pat Carroll, Add Data, Clean Cut, Column Input Cell, Excel's Trendline, General Motors, Right-hand Actual, Average of Salary, Demand Medium, Eli Lilly, Excel's Correlation, Gerry Fuller, Kelly Schmit New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 15
books:
See all 15 books this book cites
- The Analysis of Variance (Wiley Classics Library) by Henry Scheffé on page 450, and Back Matter
- Against the Gods: The Remarkable Story of Risk by Peter L. Bernstein on page 2, and Back Matter
- Theory of Games and Economic Behavior (Commemorative Edition) (Princeton Classic Editions) by John von Neumann on page 82, and Back Matter
- Applied Regression Analysis (Wiley Series in Probability and Statistics) by Norman R. Draper in Back Matter
- How to Lie with Statistics by Darrell Huff in Back Matter
See all 15 books this book cites
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