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Yuki888 [10]
2 years ago
13

Nd the area of a circle with a circumference of 12.56

Mathematics
1 answer:
SSSSS [86.1K]2 years ago
3 0

Answer:

12.56 sq units

Step-by-step explanation:

C= 2 times pi times radius

12.56=2(3.14)R

12.56=6.28

r=2

area=A = πr²

A = 3.14(2²) = 3.14(4) = 12.56

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41 times what would get you to 57?
Yuki888 [10]

Answer:

57/41

Step-by-step explanation:

41 * x = 57

x = 57/41

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3 years ago
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Cómo escribirias en multiplicación de factores primos el 600
Troyanec [42]

Multiplica fracciones: 600 × 3/5 = ? Resultado de la multiplicación de fracciones ordinarias (simples) explicado.

5 0
3 years ago
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Please Help Keep getting 6.4
elixir [45]

Answer:

r = 3

Step-by-step explanation:

x^2 + 6x + y^2 - 8y = - 16

Take half the linear term and square it.

x^2 + 6x + (3)^2 + y^2 - 8y + (-4)^2 = - 16

Add the squared amounts to the right.

x^2 + 6x + 9 + y^2 - 8y + 16 = - 16 + 9 + 16  

Combine on the right.

x^2 + 6x + 9 + y^2 - 8y + 16 = 9

Represent the 2 quadratics as perfect squares.

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8 0
2 years ago
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A man has 10 more dimes than quarters. he has $2.75 how many of each coin does he have?
Anton [14]
5 quarters, 15 dimes

q + 10 = d
0.25q + 0.1d = 2.75

0.25q + 0.1(q + 10) = 2.75
0.25q + 0.1q + 1 = 2.75
0.35q = 1.75
q = 5

Check:

0.25(5)+ 0.1(15)= 2.75
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4 0
2 years ago
The average time a subscriber spends reading The Wall Street Journal is 49 minutes (The Wall Street Journal Subscriber Study). A
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Answer:

P(X>60)=P(\frac{X-\mu}{\sigma}>\frac{60-\mu}{\sigma})=P(Z>\frac{60-49}{16})=P(z>0.6875)

And we can find the probability with the complement rule and the normal standard distirbution and we got:

P(z>0.6875)=1-P(z

Step-by-step explanation:

Let X the random variable that represent the time spent reading of a population, and for this case we know the distribution for X is given by:

X \sim N(49,16)  

Where \mu=49 and \sigma=16

We are interested on this probability

P(X>60)

And we can use the z score formula given by:

z=\frac{x-\mu}{\sigma}

Using this formula we got:

P(X>60)=P(\frac{X-\mu}{\sigma}>\frac{60-\mu}{\sigma})=P(Z>\frac{60-49}{16})=P(z>0.6875)

And we can find the probability with the complement rule and the normal standard distirbution and we got:

P(z>0.6875)=1-P(z

5 0
3 years ago
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