BMGT 230 Lecture Notes - Lecture 14: New Zealand, Sampling Distribution, Sample Size Determination
16 Mar 2017
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10: this is a random variable that takes on all possible sample proportions from all possible samples of size n. Ex 1: an investment website can tell what devices are used to access the site. The site manager (cid:449)o(cid:374)der (cid:449)hether the(cid:455) should e(cid:374)ha(cid:374)(cid:272)e the fa(cid:272)ilities for tradi(cid:374)g (cid:448)ia (cid:863)s(cid:373)art pho(cid:374)es(cid:863) so the(cid:455) (cid:449)a(cid:374)t to estimate the proportion of users who access the site that way. Mean would stay the same, sd would decrease: what is the probability that the sample proportion of smart phone users is between. Example 2: the proportion of adult women in the us is approximately 50%. A marketing survey telephones 400 people at random. You need to find probability of p < . 4. In general, a confidence interval has the following form: estimate plus or minute margin of error. 1564 plus or minus 1. 96 times the square root of [(. 1564)(1-. 1564)/582] = (. 1269, . 1859: explain what your interval means.
