PSYC 2530 Lecture Notes - Lecture 5: Sampling Error, Null Hypothesis, Standard Deviation
12 Oct 2016
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O(cid:373)e pop"(cid:374) features (cid:373)ight (cid:374)ot (cid:271)e i(cid:374) sa(cid:373)ple. Dsm mean = expected value of m = . Dsm standard deviation = standard error of m : m = / n or 2. Guaranteed normal if: population the samples come from is normal, sample size n > 30. Standard error = m = dsm standard deviation: measure of average distance m to . M = variability of sample means: measures standard distance from a sample mean to its population mean. Law of large numbers: the larger the sample size (n), the more likely m is close to , the larger the sample size, the smaller the standard error. Check dsm satisfies > one normality criterion. Find the probability for a sample mean m from its z-score and table b. 1. Z calculations: same as individual scores, but using standard error m [sample size (n)]. Z indicates the distance between m and in terms of the standard error.
