We have 30 items to compare, but this time two of those items tend to cause bigger problems in th error. If a = 0.05 for a normal single pair comparison test when those two are not involved, but th a = 0.10 if one of them is involved, and the a = 0.20 if both are involved. For the whole comparisio

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We have 30 items to compare, but this time two of those items tend to cause bigger problems in the
error. If a = 0.05 for a normal single pair comparison test when those two are not involved, but the
a = 0.10 if one of them is involved, and the a = 0.20 if both are involved. For the whole comparision
experiment set, what would be the overall chance of making a Type I error?
Transcribed Image Text:We have 30 items to compare, but this time two of those items tend to cause bigger problems in the error. If a = 0.05 for a normal single pair comparison test when those two are not involved, but the a = 0.10 if one of them is involved, and the a = 0.20 if both are involved. For the whole comparision experiment set, what would be the overall chance of making a Type I error?
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