ci.sigma: Confidence interval for sigma squared.

In asbio: A Collection of Statistical Tools for Biologists

Confidence interval for sigma squared.

Description

The function calculates confidence intervals for \sigma^2. We assume that the parent population is normal.

Usage

ci.sigma(data, conf = 0.95, S.sq = NULL, n = NULL, summarized = FALSE)

Arguments

data	A vector of quantitative data. Required if summarized=FALSE.
conf	Level of confidence. 1 - P(type I error).
S.sq	Sample variance, required if summarized=TRUE.
n	Sample size, required if summarized=TRUE.
summarized	Logical. If summarized=TRUE then the user must supply S.sq and n

Value

Returns a list of class = "ci". Default printed results are the point estimate and confidence bounds. Other objects are invisible.

Author(s)

Ken Aho

References

Bain, L. J., and M. Engelhardt. 1992. Introduction to Probability and Mathematical Statistics. Duxbury press. Belmont, CA, USA.

See Also

ci.mu.z

Examples

ci.sigma(rnorm(20))

asbio documentation built on Aug. 20, 2023, 9:07 a.m.