3
votes
Accepted
Simulation of type-1 error rate, and how to check type-2-error (rate)
Your t-test is calculating a p-value for a sample from a population where the mean is 0.5 and the standard deviation is 5. You are testing the null hypothesis that the mean in the population is zero.
...
2
votes
Accepted
Data Processing for self-report measures before conducting inferential test. Sum, mean or leave it as-is?
Option 1 and 2 are inefficient, as you convert two values into one. Option 3 treats the observations as independent values, which they are not. You would underestimate the uncertainty and any test ...
2
votes
P-value of 0 when comparing two treatments using bootstrap method
You don't need to do any bootstrap when your issue is really that you're having trouble interpreting a classical test. The t-test and Wilcoxon are telling you the same thing. The mean of sample 1 is ...
2
votes
Accepted
Should I use the paired t-test or the unpaired t-test for comparing two sets of measurements on a similar subject?
This appears to be an unpaired problem - if I understand correctly, you're running the same program 30 times in a row on the same test bed, not running it over a battery of 30 different tests. The ...
1
vote
Required sample size with unequal variances
Besides simulations, there is an approximate (but generally quite good) solution and a more accurate solution. Not all libraries or software offer the more accurate solution; you'll have to refer to ...
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