Use the following probability model for the next 4 questions. We define each state by using two codes. For the first part, A or B. For the second art, an integer between 1 and 3. state s probability P(s) realization X(s) realization Y(s) 00 A1 .1 50 20 A2 .2 20 20 АЗ 20 20 B1 botles an 50otn mmo50niwo aris se dod li B2 oni ei X.2 bns Xesl 20 mo 9 50sved seoqque B3 .1 50 20
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.


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Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case you require the unanswered parts also, kindly re-post that parts separately.
4.34
From the condition,
Given
Thus, the correct option is c) (0.3, 0.1).
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