# STAT 1100Q Lecture Notes - Lecture 9: Fits, Random Variable

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## Document Summary

3 mx 210. 08 t 410. 14 t 610. 43 t 810. 02 t 10 0. 15 11210. 04 t. 0. 16 t 0. 56 t 2. 58 1 o 16 t. 7 every data value is equal to mean. 10 standard deviation describes how far the random variable falls on average from the mean of its distribution. B nn. ie nt n k in in 141 ni n ki k cng h. T s trials n trials fixed f independent two possible outcomes for each trial bernoulli trials same probability of for each trial success. 15 to define the random variable by the number of trials the probability of success. Bin 300 43 f no outcomes are not binomial independent. 18 x n bin 10 0. 30 p x y 0. 30 1 0. 30 o x. C p probability of getting a 5 46. Y n bin 6,46 d p y a 6cg yg 51616y y o 1,2. 0. 6028 i ply 3 l p yc 3.

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