The probability of event A, given that event B has occurred, can be found using Bayes's Theorem. P(A) P(B A) P(A) P(B| A) + P (A') •P(B A') P(A B) = Use Bayes's Theorem to find P(A B) using the probabilities shown below. P(A) = 0.15, P (A') -0.85, P(B] A) = 0.3, and P(B| A') - 0,7 The probability of event A, given that event B has occurred, is . (Round to the nearest thousandth as needed.)
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
P(A)=0.15,P(A')=0.85,P(B|)=0.3,ANDP(B|A'=0.7
The possibility of event a given that event B has occurred is rounded to the nearest tenth as needed
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