13. Is the following proposition true or false? Justify your conclusion with a proof or a counterexample. If f:ST is a surjection and CCT, then f (f(C)) = C. 14 et f. S T Prove that CCA O B) = f(A O fB) for all subsets A and

Q: What is 486 times 40

A:

Q: Is 6 equal to 12

A: A constant value can not be equal to other constant value. So we get 6 is not equal to 12. But if we…

Q: what is 12 times 11

A: It just a multiplication of 12 and 11

Q: 103= 10%3D 2.

A: 102  = 100

Q: What is 60 plus 60

A: given that,   what is 60 plus 60?

Q: -5.4 + 9.5

A:

Q: 10+7=?

A:

Q: What’s 12 times 9?

A:

Q: 5+7=

A: Addition : The addition is taking two or more numbers and adding them together, that is, it is the…

Q: Wht is 10-73

A:

Q: What is 6 times 4

A:

Q: Blank of 80 is 50

A: Blank of 80 is 50

Q: 25x+75>450

A: 25x +75 > 400

Q: How does the 500 turn to 400?

A: Given, the rate of change of the monthly sales of a newly released football game.

Q: forgot a23

A: If the elements of a matrix are represented in the form - Then,

Q: What is 4 times 4

A: We have the given statement as    What is 4 times 4

Q: what is 2 times 54?

A: We have compute 2 times 54 that 2×54. Hence, 2×54=108

Q: 18+x=14

A: We will find the value of x

Q: 7+9=?

A: We need to find the sum of 7 and 9

Q: — 33 > 5а + 2

A:

Q: 6+12=

A: Given,          6+12

Q: What is 5 times 6

A: follow next step

Q: -214x - 61 > 18

A: Given inequality-24x-6>18From above inequality we can evaluate that there is modulus operator in…

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.