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True False the ability of the test to find differences when they, in fact, do not exist.
True False the ability of a test to find real differences when they exist
True False the strength of your conclusions from the statistical test.
True False the ability of the test to reject the null hypothesis when the null hypothesis is false.

2007-07-25 06:51:49 · 2 answers · asked by Anonymous in Science & Mathematics Mathematics

tfft, fttt, and tftt are wrong

2007-07-25 07:00:39 · update #1

tfft, fttt, and tftt are wrong

2007-07-25 07:00:40 · update #2

2 answers

The power of a test is (ß - 1) where ß is the probability of accepting the null hypothesis when ACTUALLY it should it should have been rejected. Therefore, (1 - ß) is the probability of rejecting the null hypothesis when ACTUALLY it should have been rejected.
1. True, The higher the power, the greater the probability of detecting departures from Ho if they exist.
2. True, by the definition above.
3. True, same as 1.
4. True, from the definition above.

2007-07-25 12:27:20 · answer #1 · answered by cvandy2 6 · 0 0

T,F,F,T

2007-07-25 06:57:40 · answer #2 · answered by ironduke8159 7 · 0 1

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