For an undergraduate-level first course in Applied Statistics that emphasizes statistical inference.Unique in approach, this practical introduction to statistical inference 1) uses only college algebra, 2) gets into inference within the first 10 pages using popular examples that students encounter every day in newspapers and on television, and 3) emphasizes and covers statistical inference for population proportions in much greater depth than other texts at this level. It features an abundance of examples, problems, and clear computational procedures, and provides a brief introduction to Minitab -- with sample data, (on disk) commands, macros (on disk), and printed output.
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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.
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2 of 2 people found the following review helpful:
3.0 out of 5 stars
A somewhat "different" approach,
By A Customer
This review is from: Applied Statistics: A First Course in Inference (Hardcover)
This book provides a novel approach to the introductory statistics course in that it seems to be missing the requisite chapter on probability that separates descriptive statistics from inference in other texts. The issues of probability and probability distributions are instead briefly handled by discussing probability in the context of confidence intervals and distributions in the context of population frequencies.The book is in other respects similar to other introductory statistics texts, and is quite suitable for students who do not plan to continue studies in statistics.
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