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)
Value
Returns a list of class = "ci"
. Default printed results are the point estimate and confidence bounds. Other objects are invisible
.
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
References
Bain, L. J., and M. Engelhardt. 1992. Introduction to Probability and Mathematical
Statistics. Duxbury press. Belmont, CA, USA.