sigmatest: Hypothesis testing for the population variance

In Mychisq: Chi-Squared Test for Goodness of Fit and Independence Test

Hypothesis testing for the population variance

Description

The function 'sigmatest()' is used to test the hypothesis about the population variance

Usage

sigmatest(
  x,
  sigma,
  alternative = c("two.sided"),
  conf.level = 0.95,
  verbose = TRUE
)

Arguments

x	a numeric vector
sigma	a population standard deviation under the null hypothesis
alternative	an alternative hypothesis, default is "two.sided"; the user can change to "greater" or "less"
conf.level	a confidence level for hypothesis testing, default is 0.95; the user can change to 0.90 or otherwise
verbose	a special variable is used for protected unexpected print output; the default is TRUE, do NOT change

Value

output of one sample Chi-squared test for variance

References

Rattanalertnusorn, A. (2024). R and its application (3rd ed.). TPN press. <https://www.researchgate.net/publication/371944275_porkaermxarlaeakarprayuktchingan_R_and_its_applications>.

Examples

heigth <- c(155.5, 165.5, 170, 164.5, 180, 162, 173, 158.5, 168.5, 175, 164.5, 167)
sigmatest(x=heigth, sigma = 3, alternative = "two.sided", conf.level = 0.95)

Mychisq documentation built on June 22, 2026, 9:08 a.m.