STAB22H3 Lecture Notes - South Dakota Highway 10, Sampling Distribution, N100
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STAB22H3 Full Course Notes
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Srs; n = 1000 canadians, = 0. 91. 91% say that canada is better than us with respect to health care system. Note that sampling variability exists: another sample has diff ppl, so the they get may not be 91% Gives an idea of spread of sample prop"s. Check to see if we can use normal model in the first place: (np) = 910 10 (nq) = 90 10. => both at least 10, so using normal model is ok. Calcualte z-score using x = 0. 95, mean = 0. 91, sd = 0. 0090. Find corresponding prop to 4. 44 from z-table, and get it to be v. close to. That sd that we calculated (used instead of p) is standard error. => it is telling us that most of the time, sample prop. b/ween 0. 91 2(0. 0090): In other words, another sample prop is unlikely to be greater than 2% away from truth, with n=1000, p ~ 0. 91.
