whats power in stats
Power is the probability of correctly rejecting a false null hypothesis. It is also 1 - Pr(Type II error).
You may want to consider things that generally increase power:
- increasing sample size
- increasing distance of hypothesized true value of parameter from null
- increasing alpha
The probability of correctly rejecting the null hypothesis given that the alternate hypothesis is true. Think of it as the opposite as the TYPE 1 Error.