![]() The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. Please enter the necessary parameter values, and then click Calculate. The cookie is used to store the user consent for the cookies in the category "Other. This calculator will tell you the critical Chi-square (2) value associated with a given (right-tail) probability level and the degrees of freedom. Here, I set Chi-square to 6 6 with x 6 and the degrees of freedom to 1 1 by using df 1 to match your example. ![]() In your case with a chi-square value of 6 and df 1 you can use pchisq (x 6,df 1,lower.tailFALSE), which is 0.01430588. This cookie is set by GDPR Cookie Consent plugin. pchisq(chival,df 6,lower.tailFALSE) gives you the same p value. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". ![]() The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. In probability theory and statistics, the chi-square distribution (also known as chi-squared or \(\) is higher than conventional criteria for statistical significance (0.001-0.05), we usually do not reject the null hypothesis and assume that all the differences are due to chance. ![]()
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