ttest_1samp¶
- numeric.stats.ttest_1samp(a, popmean)¶
Calculate the T-test for the mean of ONE group of scores.
This is a two-sided test for the null hypothesis that the expected value (mean) of a sample of independent observations a is equal to the given population mean, popmean.
- Parameters
a – (array_like) Sample observation.
popmean – (float) Expected value in null hypothesis.
- Returns
t-statistic and p-value
Examples:
from mipylib.numeric import stats a = array([1,2,-1,2,1,-4]) mu = 0 r = stats.ttest_1samp(a, mu) print r
Result:
>>> run script... (0.17622684421256019, 0.8670310908282268)