How to calculate the statistics "t-test" with numpy

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I'm looking to generate some statistics about a model I created in python. I'd like to generate the t-test on it, but was wondering if there was an easy way to do this with numpy/scipy. Are there any good explanations around?

For example, I have three related datasets that look like this: 

[55.0, 55.0, 47.0, 47.0, 55.0, 55.0, 55.0, 63.0]

Now, I would like to do the student's t-test on them.

scipy statistics numpy python
3 Answers

In a scipy.stats package there are few ttest_... functions. See example from here:

>>> print 't-statistic = %6.3f pvalue = %6.4f' %  stats.ttest_1samp(x, m)
t-statistic =  0.391 pvalue = 0.6955
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