- #1
natski
- 267
- 2
Hey guys,
I am currently using a one-sided P-value test in a selection between two hypotheses:
H0: null hypothesis
H1: "signal" hypothesis
I know that there are only two possible hypotheses. I have read much in the literature about how the P-value is a bit crappy and a Bayesian model selection can offer the true probabilities, whereas the P-value only let's you reject H0 at a certain significance level.
However, if I reject H0 at say 95% probability, then since there are only 2 possible hypotheses, does this not mean that H1 must be accepted at 95% confidence level too? Afterall, what other possibility is there?
Natski
I am currently using a one-sided P-value test in a selection between two hypotheses:
H0: null hypothesis
H1: "signal" hypothesis
I know that there are only two possible hypotheses. I have read much in the literature about how the P-value is a bit crappy and a Bayesian model selection can offer the true probabilities, whereas the P-value only let's you reject H0 at a certain significance level.
However, if I reject H0 at say 95% probability, then since there are only 2 possible hypotheses, does this not mean that H1 must be accepted at 95% confidence level too? Afterall, what other possibility is there?
Natski