Biology 2244A/B Lecture 5: Lecture 5 – Random Variables and Binomial Distributions

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Lecture 5 random variables and binomial distributions. A variable which has a numerical outcome of a random phenomenon (i. e. procedure) It is a random outcome there is distribution to which the outcomes occur, and you do not know what that distribution is. Example: let x be the rv equal to the number of students who have a part time job, out of four. How many different ways can you get 0 students having a part time job -> only 1 (none of them have it) 4 (nnnn) (nnny) (nnyn) (nynn) (ynnn) (nnyy) (nyny) (ynny) (yynn) (tntn)(nyyn) (nyyy( (ynyy) (yyny) (yyyn) (yyyy) What approach to probability did we use to assign probabilities to the 5 outcomes of our random variable, Variable with a numerical outcome that is uncertain until it occurs. Discrete: does not represent a range of numbers, can"t be 2. 5-3. Shows the potential outcomes of a random variable, x, and their assigned probabilities.

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