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This book is written for the introductory statistics course and students majoring in any field. It is written in an approachable, informal style that invites students to think about how to reason when data is available. Stats: Data and Models (SDM), as compared to Intro Stats, offers Math Boxes, which present the mathematical underpinnings of the statistical methods and concepts, and advanced topics (Ch. 28-31) that are often covered in a two-semester course, plus the inclusion of non-parametrics. SDM carries a core focus on statistical thinking and understanding analyses throughout the text, emphasizing how statistics helps us to understand the world. the book also recognizes the central role that technology plays in statistics. SDM is organized into short teachable chapters that focus on one topic at a time, offering instructors flexibility in selecting topics while students receive digestible chunks of information that build on previous material before moving on.
Table of Contents
Exploring and Understanding Data
Stats Starts Here
Displaying Categorical Data
Displaying Quantitative Data
Describing Distributions Numerically
The Standard Deviation as a Ruler and the Normal Model
Exploring Relationships between Variables
Scatterplots, Association, and Correlation
Re-Expressing Data: It's easier than you think
Randomness and Probability
From Randomness to Probability
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
Paired Samples and Blocks
Modeling the World
Inferences for Regression
Analysis of Variance
Two Way Analysis of Variance
Multiple Regression Wisdom
Table of Contents provided by Publisher. All Rights Reserved.