Biology 2244A/B Lecture Notes - Lecture 4: Binomial Distribution, Random Variable

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A variable which has a numerical outcome of a random phenomenon (i. e. procedure) Example: let x be the rv equal to the number of students who have a part time job, out of 4. Assume having a job is equally likely as not having a job x. Outcome(s) associated with x (nnnn) (nnny) (nnyn) (ynnn) (nynn) (yynn) ( Classical - didn"t go out and tally the amount of students, instead ) made an assumption about how many student have a part time job and who doesn"t. Values are d)screte, because it is (cid:882), (cid:883),(cid:884),(cid:885) or (cid:886). Shows the potential outcomes of a random variable, x, and their assigned probabilities. 2 outcomes: part time job and no job. When you look at probability of 330 students you have a set fraction of us that have a part time job, If something else is going on, if 10 students walk in and ruin probability,

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