B. By determining whether each relation on the set A = {1,2,3,4} possesses the types of relation in COLUMN B. COLUMN A COLUMN B 22. {(2,2), (2,3), (2,4), (3,2), (3,3), (3,4)} A. reflexive 23. {(1,1), (1,2), (2,1), (2,2), (3,3)(4,4)} B. symmetric C. antisymmetric D. Transitive 24. {(2,4), (4,2)} 25. {(1,1), (2,2), (3,3), (4,4)} 26.{(1,2), (2,3), (3,4)} E. reflexive, symmetric, and transitive 27. {(1,3), (1,4), (2,3), (2,4), (3,1), (3,4)} F. reflexive, symmetric, antisymmetric and transitive G. none

Q: 3,5,12,55,648?

A: If we see this pattern clearly we can see  3,5,12,55,648 3*5-3 = 12 5*12-5 = 55 12*55-12 = 648 So…

Q: 15 17 9.

A: We have to find b

Q: One population has a mean of u = 50 and a standard deviation of a = 15, and a different population…

A: Solution. The given data repersent the mean and SD of two curve.

Q: Evaluate C(12,6)

A: The number of k- combinations from a given set S of n elements can be denoted by  Cn,k and can be…

Q: 4. Fill in the following contingency table with the number of observations that fall into each com-…

A: x1 = number of colored oranges from Skittles brand = 77 x2 = number of colored oranges from M &…

Q: 6, 1, –4, –9, ...

A:

Q: The mean incubation time for a type of fertilized egg kept at a certain temperature is 23 days.…

A: Consider X be a random variable which follows normal distribution indicates the incubation time of…

Q: find a formula for a, for the arithmetic sequence.

A:

Q: -1 3. 3. -1 214

A:

Q: 41. 2625

A: Given problem:- simplify  26254

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.