| Title: | All-in-One Chi Distribution CI |
| Version: | 0.1.1 |
| Maintainer: | David Reese <reesedavid132@gmail.com> |
| Description: | Computes confidence intervals for variance using the Chi-Square distribution, without requiring raw data. Wikipedia (2025) https://en.wikipedia.org/wiki/Chi-squared_distribution. 'All-in-One Chi Distribution CI' provides functions to calculate confidence intervals for the population variance based on a chi-squared distribution, utilizing a sample variance and sample size. It offers only a simple all-in-one method for quick calculations to find the CI for Chi Distribution. |
| License: | MIT + file LICENSE |
| Imports: | stats |
| Suggests: | testthat |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| NeedsCompilation: | no |
| Packaged: | 2025-04-03 20:28:16 UTC; David |
| Author: | David Reese [aut, cre] |
| Repository: | CRAN |
| Date/Publication: | 2025-04-07 16:20:13 UTC |
Compute Confidence Interval for Variance Without Raw Data
Description
This function calculates the confidence interval for variance when only + the sample variance and sample size are known.
Usage
chi_var_ci_no_data(s2_given, n_given, conf_level)
Arguments
s2_given |
Numeric. The sample variance. |
n_given |
Integer. The sample size. |
conf_level |
Numeric. The confidence level (e.g., 0.95 for 95% CI). |
Value
A numeric vector with the lower and upper bounds of the confidence interval.
Examples
s2_given <- 21.5 # Sample variance
n_given <- 26 # Sample size
conf_level <- 0.98 # 98% confidence level
chi_var_ci_no_data(s2_given, n_given, conf_level)