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PilotLPTM [1.2K]
2 years ago
11

Find the perimeter of a 20 cm window

Mathematics
2 answers:
tensa zangetsu [6.8K]2 years ago
5 0
Answer: 80cm


Explanation: 20+20+20+20= 80cm
Lesechka [4]2 years ago
4 0

Answer:

Just do 20 x 4

80 is your answer

Step-by-step explanation:

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Hal has a steel barrel with a diameter of 6 feet that can be filled to a depth of 4.6 feet with oil. What is the volume of the b
scoray [572]

Answer:

129.996 cubic feet

Step-by-step explanation:

Assuming that the barrel is a perfect cylinder, we can use the formula to find the volume:

\pi(r)^2(h)

First, we have to find the radius, which is:

D = 2r

So the radius is 3 feet, since it is half of the diameter. Then, we plug in the values.

3.14(3)^2(4.6)

Now, we solve. Exponents are first...

3.14(9)(4.6)

Now multiply left to right.

28.26(4.6)

129.996 cubic feet

Therefore, the barrel can hold 129.996 cubic feet of oil. Hope this helps you!

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3 years ago
What is a​ population?. a population is the set containing all the people or objects whose properties are to be described and an
yarga [219]
I think that is the letter (a)
7 0
3 years ago
Anyone know quadratics
VMariaS [17]
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{b}^{2}
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3 years ago
If line b is perpendicular to line a, and line c is perpendicular to line a, what is the slope of line c ?
Shalnov [3]
To answer this question, we must find the slope of line b.
 We have then:
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8 0
3 years ago
Read 2 more answers
Suppose you open a new game at the county fair. When patrons win, you pay them $3.00; when patrons lose, they pay you $1.00. If
tatyana61 [14]

Answer:

E(X) = 1 *0.8 - 3*0.2 = 0.2

so at the long run we can conclude that the best option is :

A) win 0.20 cents per play

Step-by-step explanation:

Previous concepts

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).  

Solution to the problem

Let X the random variable who represent the ampunt of money win/loss at the game defined.

The probability of loss $3.00 for this game is 0.2 and the probability of win is 1-0.2=0.8 and you will recieve $1.00 if you win. The expected value is given by:

E(X) = \sum_{i=1}^n X_i P(X_i)

And for this case if we replace we got:

E(X) = 1 *0.8 - 3*0.2 = 0.2

so at the long run we can conclude that the best option is :

A) win 0.20 cents per play

3 0
3 years ago
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