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Old 08-09-2012
tyagee's Avatar
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Stats Alpha value versus P Value

An experimenter conducts a test of a new medication compared with the current standard medication. Alpha is selected to be 0.05. At the conclusion of the trial, the sample of patients receiving the new medication shows more improvement than the comparison group on the standard medication. The p-value is 0.002. What will the experimenter conclude?

A. Do not reject the null hypothesis.
B. The new medication has more clinical benefits than the standard medication.
C. The likelihood that a type I error has actually been committed is less than the maximum risk the experimenter was willing to accept.
D. The result is not significant.
E. A type II error has been committed.

ans is C
what does it mean ? :-/
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Old 08-09-2012
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alpha error is 0.05 means out of 100 attempts error is made only 5 times--it is acceptable ( significant)
it means experimenter was willing that if he got error 5 times out of 100 attempts, it will be significant ..ie the drug worked, the drug is good.....

now it comes out to be 0.002........its very very good ...hope u correlate ......
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