Mann's Introductory Statistics

by Thomas H. Wonnacott, Ronald J. Wonnacott

An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions.

Genres: Mathematics

624 pages, Paperback

First published June 1, 1969

Reviews

[Alessandro Piovaccari · Rating 4 out of 5]

This introductory book is certainly not an exhaustive treatise on statistics. Many advanced topics are just covered with few simple examples. Nevertheless, I found this text very clear and easy to comprehend able to build in the reader intuition on topics that can be quite difficult to really assimilate. Certainly, also a great text to refresh your statistics know-how.

[Saman · Rating 3 out of 5]

Good Book for introductory Statistics, Need No prerequisites, Teaches what it needs from Probability, too long and a little slow but easy and not vague.