1 Sample T test domparing mean from data to a value from medical literature
2 sample T test (independant samples t test) compares means from 2 samples
paired sample T - test compares tye means of a group of induviduals both pre and post intervention
if a P-value is less than 0.05, (equivalent to 5%) then the null hypothesis is rejected. we can then report a significant difference. this is when investigations can be begun
is multiple testing a good idea
probably not as 1 in 20 tests with the same data can be a false positive result. problem is we do not know whidch one is wrong, it is wrong as a type 1 error
(rejection of null hypothesis when it is infact true)
(good to note that a Type 2 error is a false negative - which is acceptance of the null hypothesis when it is actually untrue)