STA450H1 Lecture : ch7.docx
Document Summary
Sampling error: the discrepancy, or amount of error between a sample statistic and its corresponding population parameter. 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. Sampling distribution: a distribution of statistics obtained by selecting all the possible samples of a specific size from a population. To construct a distribution of sample means: select a sample of size (n), and calculate mean continue to do this until you have selected all the possible samples from the population. The average value of all the sample means is exactly equal to the value of the population mean. Expected value of m: the mean of the distribution of sample means is equal to ( ) and is called the expected value of m.