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statuscvo [17]
2 years ago
8

Find out how far the ball will travel, thanks. Will give brainliest.

Mathematics
2 answers:
Dmitriy789 [7]2 years ago
6 0
Answer:

127ft


Step-by-step explaination:

Ezzz
kirill115 [55]2 years ago
5 0

Answer:

127 ft

Step-by-step explanation:

split the square diagonally and use the pythagorean theorem

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(12/21)... what is this fraction simplified
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\frac{12}{21} \\ \\ GCF = 3 \\ \\ 12 \div 3 = 4 \\ \\ 21 \div 3 = 7 \\ \\  \frac{4}{7} \\ \\ Answer: \fbox {4/7}
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Give each rate in miles per hour. Round to the nearest tenth.
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The answer is 5.5 mph
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0 = x because 0 + 5 = 5 plus 2 = 7
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The hypotenuse of a right triangle is 4 times the smallest side. The third side is 4√15 cm. Find the length of the smallest side
Brums [2.3K]

Answer:

x=4 cm

Step-by-step explanation:

x=smallest side

4x=hypotenuse

4√15=third side

use the Pythagorean Theorem

(4x)^2=x^2+(4√15)^2

16x^2=x^2+240

16x^2-x^2=240

15x^2=240

x^2=240/15

x^2=16

x=√16

x=4 cm is the smallest side

the hypotenuse is 16 cm

the third side is 4√15 cm

8 0
3 years ago
Read 2 more answers
g In R simulate a sample of size 20 from a normal distribution with mean µ = 50 and standard deviation σ = 6. Hint: Use rnorm(20
Illusion [34]

Answer:

> a<-rnorm(20,50,6)

> a

[1] 51.72213 53.09989 59.89221 32.44023 47.59386 33.59892 47.26718 55.61510 47.95505 48.19296 54.46905

[12] 45.78072 57.30045 57.91624 50.83297 52.61790 62.07713 53.75661 49.34651 53.01501

Then we can find the mean and the standard deviation with the following formulas:

> mean(a)

[1] 50.72451

> sqrt(var(a))

[1] 7.470221

Step-by-step explanation:

For this case first we need to create the sample of size 20 for the following distribution:

X\sim N(\mu = 50, \sigma =6)

And we can use the following code: rnorm(20,50,6) and we got this output:

> a<-rnorm(20,50,6)

> a

[1] 51.72213 53.09989 59.89221 32.44023 47.59386 33.59892 47.26718 55.61510 47.95505 48.19296 54.46905

[12] 45.78072 57.30045 57.91624 50.83297 52.61790 62.07713 53.75661 49.34651 53.01501

Then we can find the mean and the standard deviation with the following formulas:

> mean(a)

[1] 50.72451

> sqrt(var(a))

[1] 7.470221

5 0
3 years ago
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