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The short, teachable chapters and approachable, colloquial style ofIntro Statshas made it the most successful first edition Statistics text. Now a hallmark feature,Intro Statsteaches readers how tothinkstatistically,showproper application of techniques, andtellothers what they have learned. What Can Go Wrong?sections in each chapter give students the tools to detect statistical errors and debunk misuses of statistics, whether intentional or not. Exploring and Understanding Data:Stats Starts Here; Data; 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; Linear Regression; Regression Wisdom; Re-Expressing Data: It's easier than you think.Gathering Data:Understanding Randomness; Sample Surveys; Experiments.Randomness and Probability:From Randomness to Probability (LLN); Probability Rules!; Random Variables; Probability Models (Binomial).From the Data at Hand to the World at Large:Sampling Distribution Models (CLT); 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.Inference when Variables are Related:Comparing Counts (Chi Square); Inferences for Regression; Analysis of Variance; Multiple Regression. For all readers interested in introductory statistics.
Table of Contents
PART I Exploring and Understanding Data
Stats Starts Here
Displaying and Describing Categorical Data
Displaying Quantitative Data
Describing Distributions Numerically
The Standard Deviation as a Ruler and the Normal Model
Exploring and Understanding Data
PART II Exploring Relationships Between Variables
Scatterplots, Association, and Correlation
Re-expressing Data: It's Easier Than You Think
Exploring Relationships Between Variables
PART III Gathering Data
Experiments and Observational Studies
PART IV Randomness and Probability
From Randomness to Probability
Randomness and Probability
PART V From the Data at Hand to the World at Large