# MKV.test: Z-test for the mean of a Normal variable with known... In RcmdrPlugin.TeachStat: R Commander Plugin for Teaching Statistical Methods

## Description

Under the assumption that the data come from a Normal distribution, it makes the hypothesis testing and the confidence interval for the mean with known population variance.

## Usage

 ```1 2``` ```MKV.test(x, mu = 0, sd, alternative = c("two.sided", "less", "greater"), conf.level = 0.95, ...) ```

## Arguments

 `x` a (non-empty) numeric vector of data values. `mu` a number indicating the true value of the mean - Null hypothesis. `sd` numerical value indicating the population standard deviation assumed to be known (mandatory). `alternative` a character string specifying the alternative hypothesis, must be one of `"two.sided"` (default), `"greater"` or `"less"`. You can specify just the initial letter. `conf.level` confidence level of the interval. `...` further arguments to be passed to or from methods.

## Value

A list with class `"htest"` l containing the following components:

 `statistic` the value of the test statistic. `parameter` sample length, population standard deviation and sample standard deviation. `p.value` the p-value for the test. `conf.int` a confidence interval for the mean appropriate to the specified alternative hypothesis. `estimate` the estimated mean. `null.value` the specified hypothesized value of the mean. `alternative` a character string describing the alternative hypothesis. `method` a character string indicating what type of statistical test was performed. `data.name` a character string giving the name of the data.

`t.test`
 ```1 2 3 4``` ```data(cars93) # Dataset provided with the package # Mean maximum price (MaxPrice) less than 20 thousand \$ assuming that the # variance is known and equal to 11 MKV.test(cars93\$MaxPrice, sd=11, alternative="less", mu=20, conf.level=0.95) ```