MATH 1F92 Lecture Notes - Lecture 4: Sampling Distribution, Random Variable, Central Limit Theorem
18 Mar 2017
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Parameter: a measure that describes the entire population ex. Statistic: a measure that describes sample of population ex. Because we use the info from the sample to draw conclusions about the population! Sampling distribution of a statistic: probability distr for all possible values of the statistic computed. The probability distribution of all possible values of all the random variable computed from sample size n from a population with mean, , and std dev, . To put it (cid:373)ore si(cid:373)pl(cid:455), (cid:449)e(cid:859)ll use a(cid:374) e(cid:454)a(cid:373)ple: Imagine our class of math 1f92 as a population, and we wanted to find out the amount of time it takes to complete a math 1f92 assignment. Usually, we would ask something along the lines of (cid:862)how long would it take a student to (cid:272)o(cid:373)plete a math (cid:1005)f9(cid:1006) assig(cid:374)(cid:373)e(cid:374)t(cid:863), To do this, we would: find a sample of students in the class, find mean.
