Statistics in Plain English with Computer Applications

In this text, statistical processes are explained through logical, non-mathematical examples, complete with demonstrations that use popular computer programs such as SAS, SPSS-X and MINITAB. Special attention is given to principles important in applying and interpreting statistics, including inferring causality, and the difference between statistical significance and practical importance. Detailed chapters cover basic fundamentals of estimation and hypothesis testing, examination of a single sample, comparison of two samples, analysis of variance, factorial designs, correlation, and simple and multiple regression. The author also goes beyond the basics to discuss more advanced areas of multi-factor analysis of variance, the latest regression diagnostics, and principles of experimental design.
 
In this text, statistical processes are explained through logical, non-mathematical examples, complete with demonstrations that use popular computer programs such as SAS, SPSS-X and MINITAB. Special attention is given to principles important in applying and interpreting statistics, including inferring causality, and the difference between statistical significance and practical importance. Detailed chapters cover basic fundamentals of estimation and hypothesis testing, examination of a single sample, comparison of two samples, analysis of variance, factorial designs, correlation, and simple and multiple regression. The author also goes beyond the basics to discuss more advanced areas of multi-factor analysis of variance, the latest regression diagnostics, and principles of experimental design.