PSYC 301 Lecture 5: 9-26
Document Summary
There are two primary points to remember about the effects of increasing sample size (n) on the sampling distribution of the mean. Regardless of the shape of the distribution of the measure in question, the sampling central limit theorem. The variance of the sampling distribution decreases distribution of the mean will be approximately normal in shape for n 30. Recall that this variance is equal to (cid:3097)(cid:3118)(cid:3015) . Suppose a test publisher states that the average score on a personality test for introversion- extraversion is 7. 0 on a 12-point scale where 1 = highly introverted and 12 = highly extraverted. This average was derived from a spectacular norming study. Additionally, the test publisher states that the variance of the test scores in the norming sample is. You administer the test to a random sample of w&m students of size n = 36. You find the mean and variance of the scores in your sample to be 9. 0 and 3. 8, respectively.
