h = vartest2(x, y)
h = vartest2(x, y, 'Alpha', alpha)
h = vartest2(x, y, 'Tail', tail)
h = vartest2(x, y, 'Dim', dim)
[h, p, ci, stats] = vartest2(...)
| Parameter | Description |
|---|---|
| x | real numeric array: first sample. |
| y | real numeric array: second 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 variance ratio. |
| stats | structure with fstat, df1, and df2 fields. |
vartest2 performs an F-test comparing two sample variances along the first non-singleton dimension unless Dim is specified.
NaN values are omitted independently from each tested sample.
x = [4.5 4.8 5.1 5.4 5.7 6.0];
y = [3.9 4.1 4.2 4.4 4.5];
[h, p, ci, stats] = vartest2(x, y);| Version | Description |
|---|---|
| 2.0.0 | initial version |