The Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations–and by confronting student anxieties about the course’s relevance and difficulties head on.
With David Moore’s pioneering “data analysis” approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in.
In the new edition, you will once again see how everything fits together. As always, Moore’s text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students–including the latest version of the widely-adopted StatsPortal.
The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience.
Additional information
Weight
1.5 kg
Product Properties
Year of Publication
2009
Table of Contents
PART I: EXPLORING DATA Exploring Data: Variables and Distributions Picturing Distributions with Graphs Describing Distributions with Numbers The Normal Distributions Exploring Data: Relationships Scatterplots and Correlation Regression Two-Way Tables Exploring Data: Part I Review PART II: FROM EXPLORATION TO INFERENCE Producing Data Producing Data: Sampling Producing Data: Experiments Commentary: Data Ethics Probability and Sampling Distributions Introducing Probability Sampling Distributions General Rules of Probability Binomial Distributions Foundations of Inference Introduction to Inference Thinking About Inference From Exploration to Inference: Part II Review PART III: INFERENCE ABOUT VARIABLES Quantitative Response Variable Inference About a Population Mean Two-Sample Problems Categorical Response Variable Inference About a Population Proportion Comparing Two Proportions Inference About Variables: Part III Review PART IV: INFERENCE ABOUT RELATIONSHIPS Inference About Relationships Two Categorical Variables: The Chi-Square Test Inference for Regression One-Way Analysis of Variance: Comparing Several Means PART V: OPTIONAL COMPANION CHAPTERS Nonparametric Tests Statistical Process Control Multiple Regression Two-Way Analysis of Variance
Author
David S Moore
ISBN/ISSN
9781429224260
Binding
Hardback
Edition
5
Publisher
Freeman
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