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One-way analysis of variance

`p = anova1(y)`

`p = anova1(y,group)`

`p = anova1(y,group,displayopt)`

```
[p,tbl]
= anova1(___)
```

```
[p,tbl,stats]
= anova1(___)
```

returns
the `p`

= anova1(`y`

)* p*-value for a balanced one-way ANOVA. It also displays the standard
ANOVA table (

`tbl`

) and a box plot of the columns
of `y`

. `anova1`

tests the hypothesis
that the samples in `y`

are drawn from populations
with the same mean against the alternative hypothesis that the population
means are not all the same.

enables
the ANOVA table and box plot displays when `p`

= anova1(`y`

,`group`

,`displayopt`

)`displayopt`

is `'on'`

(default)
and suppresses the displays when `displayopt`

is `'off'`

.

`[`

returns a structure, `p`

,`tbl`

,`stats`

]
= anova1(___)`stats`

,
which you can use to perform a multiple comparison test. A multiple
comparison test enables you to determine which pairs of group means
are significantly different. To perform this test, use `multcompare`

, providing the `stats`

structure
as an input argument.

[1] Hogg, R. V., and J. Ledolter. *Engineering
Statistics*. New York: MacMillan, 1987.

`anova2`

| `anovan`

| `boxplot`

| `multcompare`

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