@@Learna_Hydralis Yes. Number of patients determines your statistical power . More power = greater ability to evaluate small differences as significant. A 1% difference in a ten patient study is hard to prove as significant since power so low. A 1% difference in a 10k patient study may be significant since you have more patients and power.
So basically type 2 error is like being "too small to detect" so you need more patients to detect the positivity.
@@Learna_Hydralis Yes. Number of patients determines your statistical power . More power = greater ability to evaluate small differences as significant. A 1% difference in a ten patient study is hard to prove as significant since power so low. A 1% difference in a 10k patient study may be significant since you have more patients and power.