What Is The Minimum Sample Size Needed To Assume A Normal Distribution. If sample size is less than 30 the underlying distribution must be known normal and then a t stat can be used with sample less than 30. Often times we are interested in estimating a population parameter like the population mean mu within a certain range of precision.
If sample size is less than 30 the underlying distribution must be known normal and then a t stat can be used with sample less than 30. More about the minimum sample size required to estimate the population mean so you can better interpret the results obtained by this solver. For a two-sample test if each sample is 20 to 25 or over that is often good enough.
What is large enough.
This estimate is low. It is possible to apply another iteration using degrees of. This is important as it implies that methods which assume a normal distribution can be used for data that isnt originally normally distributed. In case you have any suggestion or if you would like to report a broken solvercalculator please do not hesitate to contact us.
