when to use the normality assumption for a t test why would the normality assumption be based on multiple independent studies? when does the normality assumption for a single experiment apply if a data set contains multiple independent experiments with a small sample size does the difference between a controlled and treated experiment how valid is the standard deviation? what is normality assumption can a small sample size generate statistically significant value why is it important to test the validity of the assumption based on independent data sets what is an example of the valid range of a normality assumption why is the data of a large sample small what is the validation of the assumption of normality why is it possible to make the same normality assumption for multiple independent experiments can one experiment have a difference in the standard deviation between a control and a treatment can a test have a small standard deviation when does a normality assumption occur when can a test be done on a large sample size in which the data is the same why would an independent test show a difference in the results? how to prove a statistically valid assumption based on multiple independent data sets with a small sample size? is it valid to test the normality assumption in the case of a group of independent experiments with small sample size what is the validity of a normality assumption in multiple independent experiments