Introduction to the Practice of Statistics 8th by David S. Moore , George P. McCabe, Bruce A. Craig

ISBN-13: 9781464158933

ISBN-10: 1464158932

About This Book

Statistics is the science of data. Introduction to the Practice of Statistics

(IPS) is an introductory text based on this principle. We present methods

of basic statistics in a way that emphasizes working with data and mastering

statistical reasoning. IPS is elementary in mathematical level but conceptually

rich in statistical ideas. After completing a course based on our text, we would

like students to be able to think objectively about conclusions drawn from

data and use statistical methods in their own work.

In IPS we combine attention to basic statistical concepts with a comprehensive

presentation of the elementary statistical methods that students will

find useful in their work. IPS has been successful for several reasons:

1. IPS examines the nature of modern statistical practice at a level suitable

for beginners. We focus on the production and analysis of data as well as

the traditional topics of probability and inference.

2. IPS has a logical overall progression, so data production and data analysis

are a major focus, while inference is treated as a tool that helps us draw

conclusions from data in an appropriate way.

3. IPS presents data analysis as more than a collection of techniques for

exploring data. We emphasize systematic ways of thinking about data.

Simple principles guide the analysis: always plot your data; look for overall

patterns and deviations from them; when looking at the overall pattern

of a distribution for one variable, consider shape, center, and spread; for

relations between two variables, consider form, direction, and strength;

always ask whether a relationship between variables is influenced by other

variables lurking in the background. We warn students about pitfalls in

clear cautionary discussions.

4. IPS uses real examples to drive the exposition. Students learn the technique

of least-squares regression and how to interpret the regression slope.

But they also learn the conceptual ties between regression and correlation

and the importance of looking for influential observations.

5. IPS is aware of current developments both in statistical science and in

teaching statistics. Brief optional Beyond the Basics sections give quick

overviews of topics such as density estimation, scatterplot smoothers,

data mining, nonlinear regression, and meta-analysis. Chapter 16 gives

an elementary introduction to the bootstrap and other computer-intensive

statistical methods.

The title of the book expresses our intent to introduce readers to statistics

as it is used in practice. Statistics in practice is concerned with drawing conclusions

from data. We focus on problem solving rather than on methods that

may be useful in specific settings.

GAISE The College Report of the Guidelines

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