PSYC209 Lecture Notes - Lecture 9: Statistical Hypothesis Testing, Cognitive Behavioral Therapy, Central Limit Theorem
29 Mar 2018
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When sample size is larger (wit hthe assumptino of random sampling), our sample means become better estimators. Textbook correction: regardless of the shape of the population, the shape of the sampling distribution of the mean approximates a normal curve if the sample size is sufficiently large . Clt only applies when we are talking about the. Doesn"t matter if you know what pop distribution is. sampling distribution will be a normal curve if sample size is sufficiently large. n=2 n=5, etc= sample size. The sample mean is an unbiased estimator because it equals the population mean on average. On average = take all possible random samples of the same size. do over and over until all possible combinations. Unbiased. will equal it on average. unbiased estimator. *take all possible random samples of the same size. *obtain means for all of these possible random samples. *take the average of all these sample means.
