HypothesisTesting`
HypothesisTesting`
MeanDifferenceCI
MeanDifferenceCI[list1,list2]
gives a confidence interval for the difference between the population means estimated from list1 and list2.
更多信息和选项
- To use MeanDifferenceCI, you first need to load the Hypothesis Testing Package using Needs["HypothesisTesting`"].
- MeanDifferenceCI[list1,list2] gives a confidence interval {min,max} centered at Mean[list1]-Mean[list2].
- MeanDifferenceCI is based on a normal distribution if the population variances are assumed known.
- If the variances for the two populations are assumed equal and unknown, the interval is based on Student's distribution with Length[list1]+Length[list2]-2 degrees of freedom.
- If the population variances are not assumed known and not assumed equal, Welch's approximation for the degrees of freedom is used.
- The following options can be given:
-
ConfidenceLevel 0.95 probability associated with a confidence interval EqualVariances False whether the unknown population variances are assumed equal KnownVariance None list of variances of each population
范例
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Wolfram Research (2007),MeanDifferenceCI,Wolfram 语言函数,https://reference.wolfram.com/language/HypothesisTesting/ref/MeanDifferenceCI.html.
文本
Wolfram Research (2007),MeanDifferenceCI,Wolfram 语言函数,https://reference.wolfram.com/language/HypothesisTesting/ref/MeanDifferenceCI.html.
CMS
Wolfram 语言. 2007. "MeanDifferenceCI." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/HypothesisTesting/ref/MeanDifferenceCI.html.
APA
Wolfram 语言. (2007). MeanDifferenceCI. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/HypothesisTesting/ref/MeanDifferenceCI.html 年