4. Introduction to Probability#
“Probability” refers to mathematics for analyzing random phenomena. Chapter 4 of Foundations of Data Science with Python introduces the basics of probability, including:
defining terminology for random phenomena,
understanding relative frequency and its relation to probability,
defining what we mean by a “fair experiment” and how the probabilities of fair experiments can be analyzed,
defining Axiomatic Probability, which is the underlying approach used in modern Probability,
introducing Corollaries of the Axioms of Probability, as tools that facilitate calculating probabilities,
introducing Combinatorics, which is the mathematics of counting, and showing some examples of how Combinatorics is used in Probability,
Here is a list of interactive elements for Chapter 4:
Section 4.1: Outcomes, Sample Spaces, and Events (interactive quiz and flashcards)
Section 4.2: Relative Frequencies and Probabilities (interactive quiz and flashcards)
Section 4.3: Fair Experiments (interactive quiz and flashcards)
Section 4.4: Axiomatic Probability (interactive quiz and flashcards)
Section 4.5: Corollaries (interactive quiz)
Section 4.6: Combinatorics (multiple interactive quizzes and interactive flashcards)
Section 4.7: Chapter Summary (interactive quizzes and interactive flashcards)