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