Biology 2244A/B Lecture Notes - Lecture 6: Random Variable, Cumulative Distribution Function, Binomial Coefficient
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Learning outcomes: define and recognize examples of random variables , distinguish between discrete and random variables; Random variables have numerical outcomes from a random phenomenon (i. e. procedure) Random = values are uncertain but expected to occur with a particular probability e. g. # days a randomly chosen adult exercised for 1 h. Random = values are uncertain but expected to occur with a particular probability e. g. # days a randomly chosen adult exercised for 1 h e. g. amount of time a teenager spent on social media on a randomly chosen day. Specific outcomes of a random variable = x 1 , x 2 (lowercase) Probability distributions identify values that a random variable can take, and how to assign probabilities to those values. Probability distributions can be summarized by mathematical equations , graphs and tables . e. g. x = # days last week that a randomly selected adult exercised for at least one hour x i.
