[Index for export/lyngby]
[p, t, df] = pttest(d1, d2)
lyngby_ts_pttest - Student's paired t-test.
LYNGBY_TS_PTTEST(X1, X2) gives the probability that Student's t
calculated on paired data X1 and X2 is higher than
observed, i.e. the "significance" level. This is used
to test whether two paired samples have significantly
[P, T] = LYNGBY_TS_PTTEST(X1, X2) gives this probability P and the
value of Student's t in T. The smaller P is, the more
significant the difference between the means.
E.g. if P = 0.05 or 0.01, it is very likely that the
two sets are sampled from distributions with different
This works for PAIRED SAMPLES, i.e. when elements of X1
and X2 correspond one-on-one somehow.
E.g. residuals of two models on the same data.
See also: TTEST, UTTEST.
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