Applied Statistics: A First Course in Inference

Focuses on the basic ideas underlying statistical inference and how they can be used to solve real problems, rather than compiling every procedure or going into mathematic details and proofs. Assumes a knowledge of college algebra. The 3.5" disk contains data files both in ASCII and in a form readable by the Minitab statistical computing software package, which is also explained in the text. No bibliography. Annotation c. by Book News, Inc., Portland, Or.

The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference. This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.