PSYC 2021 Lecture Notes - Lecture 7: Sampling Distribution, Statistical Parameter, Standard Deviation
14 Mar 2017
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Document Summary
Chapter 7: probability and samples: the distribution of. Sampling error is a naturally occurring discrepancy, or amount of error, between a sample statistic and its corresponding population parameter. The relatively large set of possible samples forms a relatively simple with and orderly pattern that makes it possible to predict the characteristics of a sample with some accuracy. The distribution of sample means is the collection of sample means for all the possible random samples of a particular size(n) that can be obtained from a population. *the distribution of sample means contains all the possible samples. It is necessary to have all the possible values to compute probabilities. If the entire set contains exactly 100 samples, then the probability of obtaining any specific sample is 1 out of 100: p= 1/100. A sampling distribution is a distribution of statistics obtained by selecting all of the possible samples of a specific size of a population: each mean becomes a raw data point.
