PSY 2106 Chapter Notes - Chapter 7: Central Limit Theorem, Sampling Error, Statistic
12 Apr 2020
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Document Summary
The natural discrepancy/amount of error between a sample statistic and its corresponding population parameter. The collection of sample means for all the possible random samples of a particular size ( n ) that can be obtained from a population. A distribution of statistics obtained by selecting all the possible samples of a specific size from a population. The distribution of sample means is approximately normally distributed, even if the population they are drawn from is not normally distributed, given that the sample size is large enough. The mean of the distribution of sample means is equal to the mean of the population scores. The standard deviation of the distribution of sample means. The standard distance between a sample mean and the population mean. Z = (x ) / ( / n) A principle stating that the larger the sample size (n), the more probable it is that the sample mean is close to the population mean.
