Hello:
I have two data
sets: A and B
For data set A,
I conduct 25 significant tests. Moreover I conduct 30 tests on data
set B. I then create third data set, called C, by subtracting A from B.
Thus:
Data set C = (Data Set B scores) - (Data Set A
raw scores). I then conduct
another 15 tests on this data set C. My question is, when doing the
Bonferroni correction, would the significance level at p = 0.05
be:
Data set
A 0.05/25 = 0.002
Data set B
0.05/30 = 0.0017
Data set C
0.05/15 = 0.003
On the other
hand, since Data set C was derived from the subtraction of data set A from data
set B, the number of tests for data set A would increase (25 + 15
= 40), and the number of tests on data set B would increase (30 + 15 = 45).
The total for data set C be (15 + 25(from A and B) + 5(from B) =
45). Thus, would the Bonferroni correction at significance level p =
0.05 be:
Data set
A 0.05/40 = 0.00125
Data set B
0.05/45 = 0.0011
Data set C
0.05/45 = 0.0011
Your help
would greatly be appreciated.
Thanks,
Michael
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