>>6020427 lb
>A t value of is very low; Enables Type II error where false conclusions are accepted. 2.5 or highe ris required by real pros that do not want to accept conclusions likely to be false.
no shit what the relevance in o tscore in relation to error in hypothesis testing, but check the table jack ass for df greater than 30 (large N) 1.69 yields a 10% chance of rejecting the null when it should not have been rejected. i was pullijg off the top pf my head with 1.76 so i'd call that realisrically conservative and as realworld environments dont lend themselves to the control afforded on clinical environment for testing I'll take my 1.76 and you can go on with your unrealistically high expectations in a nonergodic environment.