STAT 1051 Lecture Notes - Lecture 15: Probability Distribution, Random Variable, Histogram

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15 Oct 2018
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Stat 1051- lecture 12 chapter 4: continuous random variables. Continuous random variables: can be a whole interval or even the entire real line. Random variables are continuous if the set of possible values f(x) 0 a: total area under f(x) = 1 b a f (x)dx. = area under f(x) between c and d. Uniform random variable: the probability density function f(x) is constant in the interval [c,d]. A random variable x is said to be uniform on an interval [c,d] if. 1 d c area of c - d = 1/(d-c) Probability histogram shows how probability is distributed over the range of the random variable. P(x a) = o, for any number a. Suppose you know that late in the night metro runs every 20 minutes, but you do not. What is the probability that you"ll have to wait for less than 6. 5 minutes. = area under the curve from 0 to 6. 5.

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