HypothesisTesting`
HypothesisTesting`
ChiSquareCI
ChiSquareCI[var,df]
gives a confidence interval based on a 
distribution with df degrees of freedom.
Details and Options
- To use ChiSquareCI, you first need to load the Hypothesis Testing Package using Needs["HypothesisTesting`"].
- ChiSquareCI[var,df] gives a confidence interval {min,max} for a population variance estimated by var.
- For confidence level
, 
and 
where 
is the 
quantile of a 
distribution with 
degrees of freedom. - ChiSquareCI is the confidence interval for a population variance based on a sample variance var estimated from a sample of size df+1.
- The following option can be given:
-
ConfidenceLevel 0.95 probability associated with a confidence interval
Examples
open allclose all
Wolfram Research (2007), ChiSquareCI, Wolfram Language function, https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquareCI.html.
Text
Wolfram Research (2007), ChiSquareCI, Wolfram Language function, https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquareCI.html.
CMS
Wolfram Language. 2007. "ChiSquareCI." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquareCI.html.
APA
Wolfram Language. (2007). ChiSquareCI. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquareCI.html