sigma.test: One sample Chi-square test for a population variance

In TeachingDemos: Demonstrations for Teaching and Learning

Description

Compute the test of hypothesis and compute a confidence interval on the variance of a population.

Usage

sigma.test(x, sigma = 1, sigmasq = sigma^2,
  alternative = c("two.sided", "less", "greater"), conf.level = 0.95, ...)

Arguments

x	Vector of data values.
sigma	Hypothesized standard deviation of the population.
sigmasq	Hypothesized variance of the population.
alternative	Direction of the alternative hypothesis.
conf.level	Confidence level for the interval computation.
...	Additional arguments are silently ignored.

Details

Many introductory statistical texts discuss inference on a single population variance and introduce the chi-square test for a population variance as another example of a hypothesis test that can be easily derived. Most statistical packages do not include the chi-square test, perhaps because it is not used in practice very often, or because the test is known to be highly sensitive to nonnormal data. For the two-sample problem, see var.test.

Value

An object of class htest containing the results

Note

This test is highly sensitive to nonnormality.

Author(s)

G. Jay Kerns [e-mail]

See Also

var.test, print.htest

Examples

x <- rnorm(20, mean = 15, sd = 7)
sigma.test(x, sigma = 6)

TeachingDemos documentation built on April 14, 2020, 6:26 p.m.