Statistics for Business and Economics

by James T. McClave

Custom edition for University of Maryland University College.

This introduction to statistics presents balanced coverage of both the theory and application of statistics and at the same time helps learners develop and enhance their critical thinking skills. It teaches readers how to analyze data that appear in situations in the world around them and features an abundance of examples and exercises—nearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. Chapter topics cover statistics, data, and statistical thinking; methods for describing sets of data; probability; discrete random variables; continuous random variables; sampling distributions; inferences based on a single sample: estimation with confidence intervals; inferences based on a single sample: tests of hypotheses; inferences based on two samples: confidence intervals and tests of hypotheses; analysis of variance: comparing more than two means; simple linear regression; multiple regression and model building; categorical data analysis; and nonparametric statistics. For individuals who want to learn the fundamentals of statistics.

Genres: Textbooks, Business, Mathematics, Reference, Economics

Paperback

First published January 1, 2011

Reviews

[Mark · Rating 5 out of 5]

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 · Rating 4 out of 5]

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 · Rating 4 out of 5]

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 · Rating 3 out of 5]

Not for beginners. Too complex.

[Gen · Rating 3 out of 5]

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 · Rating 3 out of 5]

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 · Rating 4 out of 5]

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

[Jacqueline Seaman · Rating 1 out of 5]

Not at all for beginners in statistics. Very complex.