Description Usage Arguments Details Value Note Author(s) See Also Examples

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

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

`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. |

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`

.

An object of class `htest`

containing the results

This test is highly sensitive to nonnormality.

G. Jay Kerns gkerns@ysu.edu

1 2 | ```
x <- rnorm(20, mean = 15, sd = 7)
sigma.test(x, sigma = 6)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.