find probability of chi2 test

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Mustafa Al-Nasser
Mustafa Al-Nasser el 16 de Mzo. de 2021
Respondida: Aditya Patil el 29 de Mzo. de 2021
Dear all;
if i want to perfrom a hypothesis test for chi2 distrubtion , how can i do it in matlab :
P(X>a)= alpha
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Mustafa Al-Nasser
Mustafa Al-Nasser el 21 de Mzo. de 2021
thank you Asvin
basically i need to test the following hypothesis
P(X> Chi2_Cirtical value)= alpha
Chi2_Cirtical value calcuated from central Chi2 distribution table , alpha is the signifacnce level
so, i need to check if the hypothesis hold if the above equatio is satisifed .
let us assume that Chi2_Cirtical value= 5.99 at alpha= 0.05 .at degree of freedom 2
in chi2gof. , i can specify the alpha but to specify the Chi2_Cirtical value , I need to know the degree of freedom.
if i use above function , i can got degree of freedeom , so since i know alpha i, i can check if the dgree of freedom > 2 , then X> 5.99 and my ypothesis is hold.
Is my conclusion is right?
Asvin Kumar
Asvin Kumar el 21 de Mzo. de 2021
Thanks for explaining. I'm, unfortunately, not the right person for this question. I was merely suggesting a function I had come across in the docs. I'll let someone else from the community help you with this.

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Ive J
Ive J el 21 de Mzo. de 2021
Based on what you explained it seems you already have the X2 stat.
p = 1 - chi2cdf(x, nu) % where x is chi2 stat and nu is df

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Aditya Patil
Aditya Patil el 29 de Mzo. de 2021
To elaborate on @Ive J's answer,
You have X. using chi2cdf, you can get . So in your case, , which you can get using chi2cdf as follows
p = 1 - chi2cdf(X, a)

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