With regard to this question about classifications of groups which differ significantly, I have two somewhat newbie / general questions:
- Lets say I'm doing a hypothesis test (the difference between two means) and I reject the null with 95% confidence (alpha = 0.05). Does this imply that I can predict/classify new values into A or B with a success rate of 95% ? If so, how this can be done ?
- Not sure in what realm my question would fall, but does this somehow relate to the explanatory vs predictive modeling discussion ?