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11 Cards in this Set

  • Front
  • Back
Effect size
a standardized difference between the means of two distributions
D
effect size is represented by what symbol?
Power
How likely are we to do what we want to do? (ie, correctly reject a false null)
Power
How much overlap is there between distributions for the null and alternative hypotheses?
A use of power
Given that we have a fixed alpha, what technique can we use to determine the required sample size to reject a specific alternative hypothesis? (ie, How big would N have to be so that if the alternative hypothesis were true, the null would be rejected 95% of the time?)
alpha
the probability of rejecting a true null
1- Beta,
power
the probability of rejecting a false H0
What are the three factors that affect power?
effect size, sample size, significance level (one vs. two tailed)
specify effect size, know H1
We can only compute 1-B if we specify/know...
1. reduce the population variance (by using a matched samples or dependent samples design)
2. Increase alpha (your definition of unlikely).
3. increase the effect size
4. use a larger sample size
What are ways to increase power?
A value for the alternative hypothesis must be specified. (in indep samples t test the difference betw means is just > or <).
What is the unique thing about power computations and the alternative hypothesis?