HSS 2381 Lecture Notes - Lecture 4: Type I And Type Ii Errors, Statistical Hypothesis Testing, West Bank Areas In The Oslo Ii Accord

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 2381
• Professor: Victor Emerson

Document Summary

Distribution of sample means is the means of the samples (all size n) taken from a population. If population mean = u, the expected value of sample mean = u. In reality, sample mean will be approx. same as population mean. Larger sample = sampling distribution of mean will more closely approximate a normal distribution. The mean of a sample distribution is equal to population mean. Distribution of sample means is almost exactly normal if. Shows that as sample size increases, iterative mean gets closer to population mean use to see when sample mean is closest to population mean and determine how big your sample size should be. Is the standard deviation of the sampling distribution of sample means, om. Describes variability of distribution of sample means. Gives measure of distance between sample mean, and overall mean of distribution of sample means (or m u) Tells us how well a sample mean estimates the population mean.