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Introduction
Chapter 1: Data and Data Analysis
1.1 Data Collection
1.2 Constructing and Reading Summarizing Displays
1.3 Interpreting Summarizing Displays
1.4 Measurement Variables
1.5 Comparing Variables: Looking for Associations
1.6 Putting it All Together
Chapter 2: Measures of Center and Variability 2.1 On the Average
2.2 Box-and- Whisker Plots
2.3 Measures of Dispersion
2.4 Putting More Together
Chapter 3: Introduction to Probability 3.1 Likelihood of Events
3.2 Randomness
3.3 Probability Experiments
3.4 Two Kinds of Probability
3.5 Geometric Probability
Chapter 4: Simulation Techniques 4.1 Problem Solving with Simulation
4.2 The Monte Carlo Procedure
4.3 Programming Monte Carlo Simulations
Chapter 5: Analytic Methods for Probability 5.1 Multi-Stage Experiments
5.2 More on Multi-Stage Experiments
5.3 Complementary Events and the Use of Partial Trees
Appendix It's Time for a Tail.
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