Statistics for Business and Economics

by James T. McClave, Terry Sincich, P. George Benson

Designed for readers with a background in basic algebra, this best-selling introduction to statistics for business and economics emphasizes inference , with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data—both by those who consume and those who produce them—and features numerous case studies, examples, and exercises, all drawing on real business situations and recent economic events. TI-83 exercise boxes give readers practice using the graphic calculator. Statistics in Action boxes helps readers examine high profile, contemporary, controversial business, economic, government, or entertainment issues that involve statistics. Focus questions help readers to think critically through each issue in discussion. Internet Labs features helps students retrieve and download raw data from the Internet for analysis. For professionals needing a reference/refresher in statistics for business and economics. Also for educators in this area.

Genres: Textbooks, Business, Mathematics, Reference, Economics

Hardcover

First published January 1, 2011

Reviews

[Mark]

I'm not a data scientist or statistician but have had to study and apply statistical thinking and methods in four academic programs and, occasionally, during my IT career. Over all, I have 6 undergrad and 17 graduate hours of statistics and probability courses--enough to have been a masters degree if they'd been in one program. Despite that, numerate thinking is not natural to me and I have to look up which methods and tests are relevant for each data-related situation, how to apply them, and what their results mean. Having a well-organized, comprehensive, exhaustively tagged (by me) reference saved me untold hours in both academic and applied settings. I doubt I will need it now, in my post-IT life, but this book has become my statistical go-to resource so I will hang onto it. If nothing more, it will make an excellent doorstop, paperweight, or--in a pinch--blunt-force weapon.

[Ran Li]

This book is quite old but classy.
As a text book for business statistics, I think it is very clear.
If I have to criticize it for something, I think it is too simple and shallow for sophisticated scholars.

[Renominki minki]

I developed a keen interest in this book when assisting a learner with a task in mathematics of Finance. Of course maths in finance is all about the application of statistics, especially when dealing data's probability distributions and random variables. The book is well-written. The researcher shows his proficiency in statistics. His mastery of theories and application of statistics in economics was instrumental in enabling offer the best statistics homework help. It was also vital in boosting my knowledge of key statistical principles and applications. I will rate it 4 stars because I believe there are some gaps in elaborations and exemplifications. But it is a very crucial book.

[Mustafa ONAL]

Not for beginners. Too complex.

[Gen]

Read it so I could help my friend with his statistics course (I had last took mine in 2009/2010?) and I needed a refresher for a few topics before I could break it down. It was a pretty decent book, though the one I used for undergrad was slightly better (maybe because my professor wrote the book so it clicked in combination with his lectures).

[rach]

This textbook made it super easy for me to grasp the concepts! This was my third statistics class that I’ve taken, but it had been six years since my last class.

Unfortunately, the last two regression chapters lost me and made me want to curl into a ball and cry.

3 stars simply because it’s a textbook 😂

[Brooke Ybarra]

This is my first excuse for not having read anything more interesting recently.

[Jacqueline Seaman]

Not at all for beginners in statistics. Very complex.