EqualVariances
HypothesisTesting`
HypothesisTesting`
EqualVariances
is an option to statistical confidence interval and hypothesis test functions of two samples that specifies that unknown population variances are equal.
Details and Options
- To use EqualVariances, you first need to load the Hypothesis Testing Package using Needs["HypothesisTesting`"].
- EqualVariances is an option for confidence interval and hypothesis test functions of two lists.
- With the default setting EqualVariances->False, variances are estimated from the two samples independently if the variances are not specified as known.
- With EqualVariances->True, a common pooled estimate of the variance is used for both populations if the variances are not specified as known.
Wolfram Research (2007), EqualVariances, Wolfram Language function, https://reference.wolfram.com/language/HypothesisTesting/ref/EqualVariances.html.
Text
Wolfram Research (2007), EqualVariances, Wolfram Language function, https://reference.wolfram.com/language/HypothesisTesting/ref/EqualVariances.html.
CMS
Wolfram Language. 2007. "EqualVariances." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/HypothesisTesting/ref/EqualVariances.html.
APA
Wolfram Language. (2007). EqualVariances. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/HypothesisTesting/ref/EqualVariances.html