Suppose you roll a fair six-sided die. Let the random variable X take value 1 when an even number is seen, and 0 otherwise; let the random variable Y take value 1 when a prime number is seen, and 0 otherwise. Drag-and-drop to complete the joint probability mass function. [Note that values on the right may be used more than once.] P(X = 0,Y = 0) 1/6 1/2 P(X = 1,Y = 0) 1/6 1/3 1/3 P(X= 1, Y = 1) 1/6 1/4 P(X = 0,Y = 1) 1/3
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.
Suppose you roll a fair six-sided die. Let the random variable X take value 1 when an even number is seen, and 0 otherwise; let the random variable Y take value 1 when a prime number is seen, and 0 otherwise. Drag-and-drop to complete the joint probability mass
How to work out each probability?
![Suppose you roll a fair six-sided die. Let the random variable X take value 1 when an even number is seen, and 0 otherwise; let the random variable Y
take value 1 when a prime number is seen, and 0 otherwise. Drag-and-drop to complete the joint probability mass function. [Note that values on the
right may be used more than once.]
P(X = 0,Y = 0)
1/6
1/2
P(X = 1, Y = 0)
1/6
1/3
1/3
P(X = 1,Y = 1)
1/6
1/4
P(X = 0, Y = 1)
1/3](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd53f88e1-aa82-433e-bf90-40af1c438bd0%2F3042fe94-5cb9-4a74-9c4c-0db243329dff%2Fp8i15vl_processed.png&w=3840&q=75)
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