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110131u - AGENDAProbability Distributions Random variable...

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Sheet1 Page 1 AGENDAProbability Distributions Random variable concepts Bernoulli trials Binomial distribution Optional Homework RANDOM VARIABLES CONCEPTS Random variables A function that assigns a value to a possible outcome Discrete ° take on specific values in a range Continuous · take on any values in a range Probability distributionp Random variables values can be observed List of possible values and probability of observing each Cumulative Distribution Functionh Based on the probability distribution Probability a random variable is less than or = x PROBABILITY DISTRIBUTION AKA probability density List of possible values and probability f(x)=± (usually some equation with input values) f(x)s sum to 1.0 f(1)=0.26, f(2)=0.50, f(3)=0.22, f(4)=0.02 CUMULATIVE DISTRIBUTION FUNCTION AKA Distribution Function Probability a random variable is less than or = x F(x)=± F(1)=0.26, F(2)=0.76, F(3)=0.98, F(4)=1.00 Some cumulative distribution function values are tabulated in the back of the course textbook BERNOULLI TRIAL
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