Customer Reviews

Data, Statistics, and Decision Models with Excel

5 star:		(2)
4 star:		(0)
3 star:		(1)
2 star:		(1)
1 star:		(0)

 

 

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.

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.

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.

This is an aoutstanding book for the MBA Student. The applications are 'real' world and very informative. A 'must have' for anyone who needs to take their quantitative skills to the next level.