SOCI 211 Lecture Notes - Lecture 7: Normal Distribution, Sampling Distribution, Standard Deviation
29 Jan 2019
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Document Summary
It will not coincide precisely with the population from which the sample was drawn. Unlikely events can happen including samples with characteristics that distinguish them from the population from which they were drawn. Distribution of incomes: 10 people with ,000 per year, 20 people with ,000 per year and 15 people with ,000 per year. Standard deviation gives us a kind of average difference between observed scores and the mean average of the sample. Take many samples of the same size from a particular population. Plot the distribution of sample means from the large number of samples. Distribution of means from the samples is the sampling. Distribution of means from the samples is the sampling distribution. If repeated random samples of size n are drawn from a population of an distribution the resulting sampling distribution tends to normality. The sampling distribution has the same mean same the population from which it was drawn.
