Data are everywhere. This book introduces, in a conversational style, the foundational techniques and concepts necessary to permit the data to tell their story. You'll learn not only about the mechanics of basic data analyses but also about when to use the methods and about the statistical concepts relevant to the meaning of the results. Several key statistical concepts are introduced early and reinforced often: the importance of randomization in collecting data, statistical inference and three distinct types (statements about cause/effect, making predictions and forecasts, and generalizing from samples to populations), interpreting the results of an analysis, and common misconceptions.
Designed to be used in a one-semester course in introductory statistics, the text comes complete with problem sets for each section.
Contents:
Chapter 1: An Introduction to Data
Chapter 2: Summarizing Data
Chapter 3: Producing Data
Chapter 4: Probability
Chapter 5: Probability Distributions for Random Sampling
Chapter 6: Hypothesis Testing
Chapter 7: Confidence Intervals
Chapter 8: Inference About Two Groups
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