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how are we doing this? just by noncentral F distribution? Thanks We are planning

ID: 3174835 • Letter: H

Question

how are we doing this? just by noncentral F distribution? Thanks

We are planning an experiment on the quality of video tape and have purchased 24 tapes, four tapes from each of six types. the six types of tape were 1) brand A high cost, 2) brand A low cost, 3) brand B high cost, 4) brand B low cost, 5) brand C high cost, 6) brand D high cost. Each tape will be recorded with a series of standard test patterns, replayed 10 times, and then replayed an eleventh time into a device that measures the distortion on the tape. the distortion measure is the response, and the tapes will be recorded and replayed in random order Previous similar tests had an error variance of about. What is the power when testing at the .01 level if the high cost tapes have an average one unit different from the low-cost tapes? How large should the sample size have been to have a 95% brand A versus brand B confidence interval of no wider than 2?

Explanation / Answer

a) power of a test is inversely propotional to type II error

type II error is defined as failing to reject null hypothesis when it is incorrect.

z=µ-x/sample standard deviation

power=1- probability of z exceeding 0.9

=1-0.01=0.99

thus 0.99 is the power of the test