The P-value is basically type 1 error, and they keep the p-value the same (at <.05) in both versions of the experiments. By increasing number of patients in the group, they increase power of the study, which reduces type II error.
No change in type 1 error and decrease in type 2 error? Can someone please explain why?
bhangradocThe P-value is basically the type 1 error, and they keep the p-value the same (at <.05) in both versions of the experiments. By increasing number of patients in the group, they increase power of the study, which reduces type II error.+12019-05-31T16:16:05Z
to snoo-finity ... and beyond!
submitted by bhangradoc(9), 2019-05-31T16:16:32Z
The P-value is basically type 1 error, and they keep the p-value the same (at <.05) in both versions of the experiments. By increasing number of patients in the group, they increase power of the study, which reduces type II error.