RcmdrPlugin.TeachStat (version 1.1.0)

MKV.test: Z-test for the mean of a Normal variable with known population variance.

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

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.

See Also

t.test

Examples

# NOT RUN {
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)

# }