Probability — measure?
Assigns numerical size to events.
Sample space S
All possible outcomes of experiment.
Radical uncertainty — difference?
Outcomes are not fully known.
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.
Test your knowledge with 10 questions on Introduction to Probability and Uncertainty.
1. What does a probability function do in the measure-based view of probability?
2. What is the primary role of a probability function in the context of a sample space?
Review the complete course in the revision sheet for Introduction to Probability and Uncertainty.
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