We know that probabilities must be bounded on the interval 0, 1]. Suppose you were asked to explain to a group of elementary school students (using something they can relate to) why it is impossible for a probability to fall outside of this range. How would you go about explaining this concept?

Q: 6+w=4

A: The give equation is 6 + w = 4To find the value of w.

Q: 2 +,

A:

Q: -2d+1=9

A:

Q: Jared drew a sketch of his garden. Each square represents I square foot, and each vegetable will…

A:

Q: -2- 4- 3 10

A:

Q: の tañ 2 = 1+2

A:

Q: 4x - 5y = 3  3x - 4y = 6

A: Given that       4x - 5y = 3 -------------(1)        3x - 4y = 6 -------------(2)

Q: 4h-3=9

A: We have to find h

Q: 24 = 3 + y

A: We have to solve the given expression for y. The expression is 24=3+y.

Q: Y -2 -1 1 3 6

A: Given query is to find indicated limit.

Q: graph shows the relationship between the volume of the dilated box and the scale factor. diusuon 5.…

A:

Q: Just like we went from a single to a double integral, we can add another dimension to create a…

A: Let  inside the following region E and 0 elsewhere.The region E is defined as the region under the…

Q: 1+n=15

A: -1+n=15

Q: -5 -2 1

A:

Q: order of (Z4, +4) for each element

A: order of (Z4, +4) for each element

Q: -8 = 6+n

A:

Q: 7w/4 + 5 = 3w/10 + 1

A: To find the value of w satisfying the given equation

Q: xp= /3-x =dx

A:

Q: How do I find numbers 2 and 4?

A:

Q: 30 = 6 + z z =

A: Given : 30  = 6+z

Q: 43a+10-26a=27

A: To solve: 43a+10-26a=27

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.