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Alex_Xolod [135]
3 years ago
12

6+4+5+4+3+4+9887777+4444

Mathematics
2 answers:
Vilka [71]3 years ago
7 0

Answer:9,892,247

Step-by-step explanation:

slava [35]3 years ago
3 0

Answer:

4534443242

Step-by-step explanation:

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Please solve 1 through 6
Degger [83]
1. 3x³-2x²+1x
2. 6y⁴+2y³-8y
3.-3m³-12m²+3m
4. 4d⁴-3d³+d²
5. -w⁵-3w³
6. -a⁴-3a³
7 0
3 years ago
The diameter of a circle is 6 in. Find its area to the nearest tenth.
Marrrta [24]

Answer and Step-by-step explanation:

The area formula for a Circle is:

A = \pi r^2

Diameter is equal to the radius times 2.

<u>So, divide the diameter to get the radius.</u>

6 divided by 2 equals 3.

<u>Now, plug it into the formula.</u>

A = \pi (3)^{2}

A = 9\pi

Plug this into your calculator by multiplying 9 by pi.

<u>We get the answer to be 28.3 when rounded to the nearest tenth.</u>

<u></u>

<u></u>

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<em><u>#teamtrees #PAW (Plant And Water)</u></em>

8 0
3 years ago
13. * 7 points 13 A ladder is 50 feet and cast a 25 foot shadow. Mark is 6 feet how long would his shadow be? A 25 feet B 32 fee
Rina8888 [55]

Answer:

3

Step-by-step explanation:

Hope this helps :)

7 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
25.7 divided by 1.8
ololo11 [35]
The answer is 14.27 :) correct me if wrong I think I am
7 0
3 years ago
Read 2 more answers
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