*z*-test

`h = ztest(x,m,sigma)`

`h= ztest(x,m,sigma,Name,Value)`

```
[h,p] =
ztest(___)
```

```
[h,p,ci,zval]
= ztest(___)
```

returns
a test decision for the null hypothesis that the data in the vector `h`

= ztest(`x`

,`m`

,`sigma`

)`x`

comes
from a normal distribution with mean `m`

and a
standard deviation `sigma`

, using the *z*-test.
The alternative hypothesis is that the mean is not `m`

.
The result `h`

is `1`

if the test
rejects the null hypothesis at the 5% significance level, and `0`

otherwise.

returns
a test decision for the `h`

= ztest(`x`

,`m`

,`sigma`

,`Name,Value`

)*z*-test with additional
options specified by one or more name-value pair arguments. For example,
you can change the significance level or conduct a one-sided test.

Use

`sampsizepwr`

to calculate:The sample size that corresponds to specified power and parameter values;

The power achieved for a particular sample size, given the true parameter value;

The parameter value detectable with the specified sample size and power.

`sampsizepwr`

| `ttest`

| `ttest2`