PSYB07H3 Final: EXAM REVIEW SAMPLING DISTRIBUTION OF MEAN
Document Summary
Given population with and the sampling distribution will have: a mean: m m x, a variance: s. As n increases, the shape of the distribution becomes normal s x s. Greater the n, the tighter the distribution (or more efficient) Mean become more efficient (less and less variability) as n increases therefore standard error is more efficient as n increases. Remember, we could test a hypothesis concerning a population and a single score by using and obtaining p(z) and using the z table m-= x s z. Example 1: given behaviour problem score of 10 year olds. =10 n = 5 sample of 10 years olds under stress. = 56: h0: = 50 h1: 50. Because we know and , we can use the central limit theorem to obtain the sampling distribution when h0 is true. Can find areas under distribution by referring to the z table need to.
