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IceJOKER [234]
3 years ago
7

What is the probability that a point chosen inside the rectangle is in the shaded triangle?

Mathematics
1 answer:
kvasek [131]3 years ago
4 0

Answer:

wait what

Step-by-step explanation:

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This question is about fractions,decimals and percentage​
AnnyKZ [126]

Answer:

3/5 , 0.6, 60%

3/4 , 0.75, 75%

4/5 , 0.80, 80%

9/10 , 0.9, 90%

and the last one should be 2/2 , 1. , 100%

3 0
2 years ago
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Simplify: <br> (8)2(2)3<br> (4)3(-2)4
Lostsunrise [7]
1). (16)(6)

2). (12)(-8)
8 0
3 years ago
A company logo is made up of a rectangle and a triangle. The logo appears on a poster board at a trade show. What is the area of
lozanna [386]
A=lb
a=100×40=4000cm^2

a=0.5×lb
a=0.5×40×30
a=600cm^2

a=4000+600
a=4600cm^2 hope it helps!!!!!!!!!!!!!!!!!!!!!!!!!!!
4 0
3 years ago
How to do 2x+4=12 plz show how you got it
OverLord2011 [107]
2x + 4 = 12

We're simply just trying to isolate x.

So, we must get x onto it's own side of the equal sign :)

Our first step is to subtract 4 from both sides.

2x + 4 - 4 = 12 - 4

Simplify.

2x = 8

Then, we divide both sides by 2.

2x ÷ 2 = 8 ÷ 2 

Simplify.

x = 4

----------

To check your work, simply plug in the value of x into x in the original equation.

In this problem, x = 4, so plug in 4 for x.

2x + 4 = 12

2(4) + 4 = 12

Simplify.

8 + 4 = 12

12 = 12

Therefore, x = 4

~Hope I helped!~
8 0
3 years ago
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A probability distribution is a listing of all the outcomes of an experiment and the probability associated with each outcome. T
Novosadov [1.4K]

Answer:

True.

Step-by-step explanation:

A probability distribution is a listing of all the outcomes of an experiment and the probability associated with each outcome. Probability distribution is associated with the following characteristics or properties;

1. The outcomes are mutually exclusive.

2. The list of outcomes is exhaustive, which simply means that the sum of all probabilities of the outcomes must equal one (1).

3. The probability for a particular value or outcome must be between 0 and 1.

Since a probability distribution gives the likelihood of an outcome or event, a single random variable is divided into two main categories, namely;

I. Probability density functions for continuous variables.

II. Discrete probability distributions for discrete variables.

For example, when a coin is tossed, you can only have a head or tail (H or T).

Also, when you throw a die, the only possible outcome is 1/6 and the total probability for it all must equal to one (1).

5 0
3 years ago
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