MATH 321 Lecture Notes - Lecture 24: Bayesian Probability, Sample Space, Fun Size
8 Jul 2019
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5. 1 probability rules introduction to probability (1 of 5) Probability is a measure of the likelihood of a random phenomenon or chance behavior occurring. Probability describes the long-term proportion with which a certain outcome will occur in situations with short-term uncertainty. Use the probability applet to simulate flipping a coin 100 times. Plot the proportion of heads against the number of flips. 5. 1 probability rules introduction to probability (2 of 5) Probability deals with experiments that yield random short- term results or outcomes, yet reveal long-term predictability. The long-term proportion in which a certain outcome is observed is the probability of that outcome. 5. 1 probability rules introduction to probability (3 of 5) As the number of repetitions of a probability experiment increases, the proportion with which a certain outcome is observed gets closer to the probability of the outcome. 5. 1 probability rules introduction to probability (4 of 5)
