This message is addressed to Forum members who are knowledgeable in statistics.

The objective is to test whether the same expression is faster,
slower, or takes the same amount of time, on the two different
versions of the interpreter.  We know that due to vagaries of the
operating system, the way interpreters are built (in particular the
memory usage), the phase of the moon, ... the same expression will run
in different times.  Are the times "the same"?

>From stat courses taken long ago and from consulting ancient stats
texts, I get the idea that the following may be applicable:

a. "Large-Sample Test" on the mean running time, with Z=(theta -
theta0)%s_theta0 as the normally distributed statistic.

b. "Small-Sample Test for Comparing Two Population Means", with T=(Y0
- Y1) % S * %: (%n0)+(%n1) as the t-distributed statistic.

I believe what I want is a "Large-Sample Test for Comparing Two
Population Means".  (Large-Sample because I can run as many benchmarks
as I like.)
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