h = ttest(x)
h = ttest(x, m)
h = ttest(x, y)
[h, p, ci, stats] = ttest(..., 'Alpha', alpha, 'Tail', tail, 'Dim', dim)
| Parameter | Description |
|---|---|
| x | real array: sample data. |
| m | real scalar, 0 by default: hypothesized mean. |
| y | real array with the same size as x: paired sample. |
| alpha | scalar in (0,1), 0.05 by default: significance level. |
| tail | 'both', 'right', or 'left'. |
| dim | positive integer: dimension to operate along. |
| Parameter | Description |
|---|---|
| h | logical array: test decision. |
| p | array: p-values. |
| ci | 2-row array: confidence intervals for the mean difference. |
| stats | structure with tstat, df, and sd fields. |
ttest performs a t-test along the first non-singleton dimension unless Dim is specified.
NaN values are omitted from each tested slice.
x = [2 4 5 6 9];
[h, p, ci, stats] = ttest(x, 4);
[h2, p2] = ttest([4 6 7], [3 5 7], 'Tail', 'right');
| Version | Description |
|---|---|
| 2.0.0 | initial version |