chapter one

1 Computing Probabilities Using Python

 

This section covers

  • What are the basics of probability theory?
  • Computing probabilities of a single observation.
  • Computing probabilities across a range of observations.

1.1 Sample Space Analysis: An Equation-Free Approach for Measuring Uncertainty in Outcomes

1.1.1 Analyzing a Biased Coin

1.2 Computing Non-Trivial Probabilities

1.2.1 Problem 1: Analyzing a Family with Four Children

1.2.2 Problem 2: Analyzing Multiple Die Rolls

1.2.3 Problem 3: Computing Die-Roll Probabilities using Weighted Sample Spaces

1.3 Computing Probabilities Over Interval Ranges

1.3.1 Evaluating Extremes Using Interval Analysis

1.4 Summary