[CentralOH] yesterdays statistics question
brywilharris at gmail.com
Tue May 17 11:54:45 EDT 2016
As I understand it, the T-Test tells you whether two populations with
normal distributions have a different mean. If you plot the prediction
errors do they seem to have a normal distribution? The T-Test checks the
hypothesis: "These populations have different means."
You probably also ought to do an F-Test. The F-test checks the hypothesis:
"These populations have different variances."
If you have reasonable sample sizes, and both populations are reasonably
normal (they have a bell curve) then these tests work OK.
Are you doing this for work or pleasure?
Bryan Harris, PE
University of Dayton Research Institute
bryan.harris at udri.udayton.edu
On Tue, May 17, 2016 at 9:46 AM, Eric Miller <miller.eric.t at gmail.com>
> On Tue, May 17, 2016 at 9:46 AM, Eric Miller <miller.eric.t at gmail.com>
>> I just happen to be sitting next to a real data scientist. Shared your
>> problem w him, and he responded w this:
> CentralOH mailing list
> CentralOH at python.org
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the CentralOH