PSY 201 Chapter Notes - Chapter 7: Statistic, Statistical Parameter, Standard Deviation

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Chapter 7: probability and samples: the distribution of sample means. Sampling error - the natural discrepancy, or amount of error, between a sample statistic and its corresponding population parameter. Samples are variable; they are not all the same. Distribution of sample means - the collection of sample means for all of the possible random samples of a particular size (n) that can be obtained from a population. Sampling distribution - a distribution of statistics obtained by selecting all of the possible samples of a specific size from a population. General characteristics of a distribution of sample means: (cid:373)ea(cid:374), . Most of the sample means should be relatively close to the population mean. The larger the sample size, the closer the sample means should be to the population. It should form a normal shaped distribution. distribution of sample means for sample size n will have a mean of and a standard deviation of.

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