asbio (version 1.6-1)

ci.sigma: 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.

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

# NOT RUN {
ci.sigma(rnorm(20))
# }