z_test: Mean test using values

In fhernanb/stests: Package with useful statistical tests

Mean test using values

Description

This function performs the mean test using summarized data (values).

Usage

z_test(
  meanx,
  nx,
  sigma2 = NULL,
  alternative = "two.sided",
  mu = 0,
  conf.level = 0.95
)

Arguments

meanx	sample mean for sample x.
nx	sample size for sample x.
sigma2	population variance which is known.
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.
mu	the hypothesized number in the null hypothesis.
conf.level	confidence level of the interval, by default its value is 0.95.

Value

A list with class htest containing the following components:

statistic	the value of the statistic.
p.value	the p-value for the test.
conf.int	a confidence interval for the variance.
estimate	the estimated mean.
null.value	the specified hypothesized value for alternative hypothesis.
alternative	a character string describing the alternative hypothesis.
method	a character string indicating the type of test performed.
data.name	a character string giving the name of the data.

Examples

# Example 13.1 from Freund et al. (2000)
res1 <- z_test(meanx=8.091, nx=25, mu=8, sigma2=0.16^2, alternative='two.sided')
res1
plot(res1)

# Example 13.2 from Freund et al. (2000)
res2 <- z_test(meanx=21819, nx=100, mu=22000, sigma2=1295^2, alternative='less')
res2
plot(res2)

fhernanb/stests documentation built on March 29, 2025, 10:36 a.m.