PSY201H5 Lecture Notes - Lecture 7: Central Limit Theorem, Sampling Distribution, Null Hypothesis
Document Summary
Hypothesis testing tells us if differences in samples are real or just due to random chance. Use sampling distribution of the mean to account for sampling error to make this determination. Sampling error: natural discrepancies between sample statistic (m) and population parameter ( ) Need to account for sampling error because we never see all other samples or the population. Solution: use distribution of sample means. Type of sampling distribution of the statistic, which: provides all values the statistic can take, provides the probability of getting that value assuming chance alone is at play, it is theoretical. Sampling distribution of the mean is a type of sampling distribution: distribution of statistics (eg. mean) obtained by selecting all the possible samples of a specific size from a population. Sampling distribution of the mean: properties: Mean is average sample mean (same as population mean)
