MATH 1F92 Lecture 11: Math+1F92-+7.1a-+Continuous+Random+Variables+Fill+In
16 Feb 2017
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Thus far, we(cid:514)ve only looked at finding the probability for discrete random variables. Discrete random variables: a discrete random variable is a value that can only take positive integer values. Examples: number of texts sent, number of times a head gets flipped, number of people that like. Continuous variables: a continuous random variable is value that can take on virtually any number- integer values as well as decimal values. Examples: time it takes to finish a race, height of students at brock, distance travelled between classes. When finding the probability of discrete random variables, we always found the probability that x was equal to some values: P(x=x) where x was the random variable and (cid:513)x(cid:514) was the observed value. P(x>a) p(x
