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There Are Frequently Situations Where You Have Information on the Conditional

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There are frequently situations where you have information on the conditional distribution of Y given X,but are interested in the conditional distribution of X given Y.Recalling Pr(Y = y There are frequently situations where you have information on the conditional distribution of Y given X,but are interested in the conditional distribution of X given Y.Recalling Pr(Y = y   = x)=   ,derive a relationship between Pr(X = x   = y)and Pr(Y = y   = x).This is called Bayes' theorem. = x)= There are frequently situations where you have information on the conditional distribution of Y given X,but are interested in the conditional distribution of X given Y.Recalling Pr(Y = y   = x)=   ,derive a relationship between Pr(X = x   = y)and Pr(Y = y   = x).This is called Bayes' theorem. ,derive a relationship between Pr(X = x There are frequently situations where you have information on the conditional distribution of Y given X,but are interested in the conditional distribution of X given Y.Recalling Pr(Y = y   = x)=   ,derive a relationship between Pr(X = x   = y)and Pr(Y = y   = x).This is called Bayes' theorem. = y)and Pr(Y = y There are frequently situations where you have information on the conditional distribution of Y given X,but are interested in the conditional distribution of X given Y.Recalling Pr(Y = y   = x)=   ,derive a relationship between Pr(X = x   = y)and Pr(Y = y   = x).This is called Bayes' theorem. = x).This is called Bayes' theorem.


Definitions:

Ordinal

A type of data or scale that shows an ordered relationship among the variable's possible values, but does not specify the magnitude of difference between them.

Nominal

Referring to data classified into categories without a natural order or ranking among the categories.

Interval Data

A type of data that consists of numerical scores that exist on a scale with equal intervals between values but no true zero point.

Nominal Data

Categorical data that cannot be ordered or ranked in a meaningful way.

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