One of two biased coins A and B is selected and flipped 2 times. Let A be the event that coin A is selected and B be the event that coin B is selected, with probabilities p(A) = 0.1 and p(B) = 0.9. When coin A is flipped, the probability of heads is 0.4. When coin B is flipped, the probability of heads is 0.8. Y, and Z in Let HH be the event that the selected coin comes up heads 2 times. Complete the values Bayes' Theorem to determine the probability coin B was chosen if both come up heads. X Ex: 0.123 · 0.9 p(B|HH) Ex: 0.123 · 0.9 + Ex: 0.123 · 0.1 Y

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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.