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19 Cards in this Set

  • Front
  • Back
If the independent variable has a real effect, the probability of rejecting Ho is
power
One can increase power by
increasing N and increasing the effect of independent variable
If the power of an experiment is .3400, the probability of retaining Ho when Ho is false is
0.6600
Which of the following P values represents the strongest effect?
Pnull=.50
Preal=.70
Preal=.80
Preal=.10**
If beta=.7500, what is the power of the experiment?
.2500
Which of the following represents the null hypothesis condition for a nondirectional H1?
pnull=.50
In the case of N=3, Preal=.90, alpha =.05 1 tail, using the sign test, the power is
0
Which of the following may be false?
alpha+beta=1
In a two-tailed test, which of the following would yield the same power as a size of effect represented by Preal=.90
Preal=.10
If Ho is false the prob. of making a correct decision is
power
Assume that you have conducted an experiment and the tail probability for the results you obtained was .0900 and alpha=.05, you can conclude
you were unable to detect an effect of the IV with your experiment (b/c we're retaining the null)
Truth demands that scientists set
not necessarily alpha=.01 or .05, but use their best judgment
In the sign test, if Ho is false, then Preal
does not equal .50

If Ho is False, Preal CAN'T be .50, it can never be .50
In an experiment, if the effect of the IV and alpha remain the same and N increases
power increases
In an experiment with N=14 and Preal =.10, what is the power using alpha=.05 2 tail
.8417
In the same experiment as 15, what is the power using alpha=.01 2 tail
.5847
An experiment with N=18 is more powerful than an experiment N=17, all other things being the same
true
In order to calculate power, you must know
alpha, N, P
In an experiment with N=6, Preal =.15, what is the power using alpha =.01 2 tail
0