TTEST2 (unpaired) t-test For two samples x and y from normal distributions with unknown means and unknown equal variances, perform a two-sample t-test of the null hypothesis of equal means. Under the null, the test statistic T follows a Student distribution with DF degrees of freedom. TTEST2 treads NaNs as "Missing values" and ignores these. H = ttest2(x,y) H = ttest2(x,y,alpha) H = ttest2(x,y,alpha,tail) H = ttest2(x,y,alpha,tail,vartype) H = ttest2(x,y,alpha,tail,vartype,DIM) [H,PVAL] = ttest2(...) [h,p,ci,stats] = ttest2(...) H=1 indicates a rejection of the Null-hypothesis at a significance level of alpha (default alpha = 0.05). With the optional argument string TAIL, the Alternative of interest can be selected. If TAIL is '!=' or '<>' or 'both', the null is tested against the two-sided Alternative `mean (X) ~= mean (Y)'. If TAIL is '>' or 'right', the one-sided Alternative `mean (X) > mean (Y)' is used. Similarly for '<' or 'left', the one-sided Alternative `mean (X) < mean (Y)' is used. The default is the two-sided case. vartype support only 'equal' (default value); the value 'unequal' is not supported. H returns whether the Null-Hypotheses must be rejected. The p-value of the test is returned in PVAL. TTEST2 works on the first non-singleton dimension or on DIM. If no output argument is given, the p-value of the test is displayed.
Package: nan