Nfs The Run Loc.zip File 🤟🏼

Nfs The Run Loc.zip File 🤟🏼



 
 
 
 
 
 
 

Nfs The Run Loc.zip File

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Applying binominal test for a combination of multiple outcomes

I am conducting a binomial test where I have multiple outcomes and I am confused on how to apply this test to a combination of multiple outcomes.
More specifically, I have a data set where I have 3 groups and there are different outcomes within each group. The outcome for the first group is based on a binomial test where I test between a binomial distribution and normal distribution. Then I am unsure how to go about applying this test to the remaining two groups in my data set.
Thank you

A:

Suppose $A_1,\dots,A_3$ are independent outcomes of a binomial $(n_1,p_1)$ random variable. Then
$$
(A_1,\dots,A_3)\sim\mathrm{multinomial}\big(\operatorname{mult}(1,p_1),\dots,\operatorname{mult}(1,p_3)\big)\sim\mathrm{multinomial}\big(n_1,\,p_1^2,\,p_2,\,p_3\big).
$$
In the first line we have $A_1,\dots,A_3$ are conditionally independent given that $P(A_1,\dots,A_3) = p_1^2p_2p_3$. In the second line the binomial distribution is inflated by $n
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