### Finding a p-value in goodness of fit test

I'm trying to find the p-value in a goodness of fit test comparing a set of observed values to a set of expected values. In Maple I can do it with **ChiSquareGoodnessOfFitTest(Ob, Ex, level = 0.5, summarize = true)**, but I can't figure out its equivalence in Sage.

There's a function **sage.stats.r.ttest(x, y)**, but when I run it on my sets, it says the p-value is 1 (it's supposed to be ~~0.1778, ~~0.00001778, as in Maple).

The sets for reference are *expected=[47.04, 25.48, 31.36, 39.2, 25.48, 27.44]*, *observed=[42, 35, 9, 41, 41, 28]*.