Probability — definition?
A measure of likelihood between 0 and 1.
Probability — definition?
Likelihood of an event occurring, between 0 and 1.
Sample Space — role?
Contains all possible outcomes of an experiment.
Sample space — role?
Contains all possible outcomes of an experiment.
Conditional Probability — mechanism?
Updates likelihood of an event given another has occurred.
Conditional probability — meaning?
Probability of A given B has occurred.
Independence — occurs when?
Occurrence of one event doesn't affect the other.
Random variables — purpose?
Assign numerical values to outcomes.
Discrete vs continuous — difference?
Discrete takes countable values, continuous any value in an interval.
Expectation and variance — significance?
Measure central tendency and spread of distribution.
Test your knowledge with 9 questions on Fundamentals of Probability and Distributions.
1. What is a probability distribution?
2. What is the primary purpose of defining a sample space in probability theory?
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