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A probability provides a quantitative description of the likely occurrence of a particular event.

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Interpretation of probability computed with mixture model

This function gives me the probability that the salary of a worker in group $k$ has salary $x$. … The probability of a salary in $[30k-50k]$ in group $k$ is equal to $\int_{30k}^{50k}\phi(x;k)dx$ If we repeat step 1 and 2 for all groups $1,2,\dots,K$, we get the probability of a salary in $[30k-50k …
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Is this a conditional distribution or joint, or none?

That correspond to a probability of $108/418 = 0.258$ Another example: 28 observations have a Bayes' Factor of Substantial while also having Substantial for the p-value. … That corresponds to a probability $28/418 = 0.067$ Conditional frequency distribution Taking it a step further. You can also only focus on 1 row or column of the table. …
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