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简介
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.
目录
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
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
The Basic Practice of Statistics / 5th ed.
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