Stats : Data and Models

by De Veaux, Richard D.; Velleman, Paul F.; Bock, David E.

• ISBN13: 9780321433794
• ISBN10: 0321433793
• Edition: 2nd
• Format: Hardcover w/CD
• Copyright: 2008-01-01
• Publisher: Addison Wesley

Summary

Key Message: Stats: Data and Models, Second Edition,carries on a conversation with readers, intriguing and challenging them to read the text and have fun learning statistics. Lauded by students and instructors alike for its readability and ease of comprehension,Stats: Data and Models, Second Edition,focuses on statistical thinking and data analysis, emphasizing how statistics helps us to understand our world. The text incorporates compelling examples derived from the authorsrs" wealth of consulting experience and encourages readers to learn how to reason with data. Key Topics: Exploring and Understanding Data, Exploring Relationships between Variables, Gathering Data, Randomness and Probability, From The Data at Hand to the World at Large, Learning About the World, Modeling the World Market: For all readers interested in statistics.

Table of Contents

Exploring and Understanding Data

Stats Starts Here

Data

Displaying and Describing Categorical Data

Displaying and Summarizing Quantitative Data

Understanding and Comparing Distributions

The Standard Deviation as a Ruler and the Normal Model

Exploring Relationships between Variables

Scatterplots, Association, and Correlation

Linear Regression

Regression Wisdom

Re-expressing Data: Get It Straight!

Gathering Data

Understanding Randomness

Sample Surveys

Experiments and Observational Studies

Randomness and Probability

From Randomness to Probability

Probability Rules!

Random Variables

Probability Models

From The Data at Hand to the World at Large

Sampling Distribution Models

Confidence Intervals for Proportions

Testing Hypotheses About Proportions

More About Tests

Comparing Two Proportions

Learning About the World

Inferences About Means

Comparing Means

Paired Samples and Blocks

Comparing Counts

Modeling the World

Inferences for Regression

Analysis of Variance

Multifactor Analysis of Variance

Multiple Regression

Multiple Regression Wisdom

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