Probability — measure?
Assigns numerical size to events.
Radical uncertainty — difference?
Outcomes are not fully known.
Sample space S
All possible outcomes of experiment.
Probability function
Assigns a number between 0 and 1.
Knightian uncertainty
Unknown probabilities for outcomes.
Radical uncertainty
Unknown set of outcomes.
Random variable X
Maps outcomes to real numbers.
Discrete random variable
Has countable possible values.
Power set 2^S
All subsets of the sample space.
Answer 10 questions on Introduction to Probability and Uncertainty.
1. What does a probability function do in the measure-based view of probability?
2. Why must the domain of a probability function include the empty set and the full sample space?
Go over the full study guide for Introduction to Probability and Uncertainty.
Read the study guide →Upload your class notes and Revizly writes your flashcards in about a minute.
Flashcard maker