ChiSquarePValue[x,df]
gives the cumulative probability beyond x for the
distribution with df degrees of freedom.
ChiSquarePValue
ChiSquarePValue[x,df]
gives the cumulative probability beyond x for the
distribution with df degrees of freedom.
更多信息和选项
- To use ChiSquarePValue, you first need to load the Hypothesis Testing Package using Needs["HypothesisTesting`"].
- The one-sided
‐value is CDF[ChiSquareDistribution[df],x] if x is less than the median of the
distribution with df degrees of freedom, and 1-CDF[ChiSquareDistribution[df],x] otherwise. - The two-sided
‐value is twice the one-sided
‐value. - The following option can be given:
-
TwoSided False whether to perform a two-sided test
技术笔记
相关指南
文本
Wolfram Research (2007),ChiSquarePValue,Wolfram 语言函数,https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquarePValue.html.
CMS
Wolfram 语言. 2007. "ChiSquarePValue." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquarePValue.html.
APA
Wolfram 语言. (2007). ChiSquarePValue. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquarePValue.html 年
BibTeX
@misc{reference.wolfram_2025_chisquarepvalue, author="Wolfram Research", title="{ChiSquarePValue}", year="2007", howpublished="\url{https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquarePValue.html}", note=[Accessed: 30-April-2026]}
BibLaTeX
@online{reference.wolfram_2025_chisquarepvalue, organization={Wolfram Research}, title={ChiSquarePValue}, year={2007}, url={https://reference.wolfram.com/language/HypothesisTesting/ref/ChiSquarePValue.html}, note=[Accessed: 30-April-2026]}