Summary of Standard error of the mean (Central limit theorem)
Standard error of the mean
Central limit theorem states that if the desired data is obtained repeatedly from random samples and the mean is calculated for each sample, these means will form a normal Gaussian curve.This curve will always be normal regardless to the shape of the original curve. The standard deviation of this curve is called the standard error of mean.The standard error of mean does not measure the dispersion of data but measures how much the sample represents the population. It is directly proportional to standard deviation and inversely proportional to sample size.
Flashcards on Standard error of the mean (Central limit theorem)
Standard error of the mean (Central limit theorem)
The confidence interval is (directly/inversely) proportional to the sample size.