Review of “Applied Statistics with Microsoft Excel” by Gerald Keller

This book provides a general introduction to statistics for first year undergraduates in any user-discipline. It is written for “statistics practitioners” rather than statisticians — according to the author the latter are those who work with the mathematics of statistics. Running to 670 pages it covers more topics than many books at this level providing a thorough treatment of analysis of variance (including multiple comparisons and interactions) multiple regression (including indicator variables and autocorrelation) and non-parametric tests (including Kruskal-Wallis and Friedman tests). However it does not cover decision analysis or time series decomposition which may reduce its appeal in the economics and business field