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3 years ago

How to calculate area and perimeter

2 answers:

7 0

To calculate the area of a square, you multiply the height of a square by itself. To find perimeter. find the height, then multiply it by 4.

H = height or length
Area: h^2

Perimeter: 4h

AURORKA [14]3 years ago

5 0

Area = height x width

Perimeter, you just add all sides.

Hope this helps. :)

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A living room has a circular rug. According to a small tag, the rug has a circumference of 6.28 yards. What is the rug's area?

cluponka [151]

Answer:

A = 3.14 yd^2

Step-by-step explanation:

The circumference is given by

C = 2 * pi * r

Letting pi be approximated by 3.14

6.28 = 2 * (3.14) *r

6.28 = 6.28 r

Divide each side by 6.28

6.28/6.28 = 6.28r/6.28

1=r

We can find the area by

A = pi r^2

A = 3.14 (1)^2

A = 3.14

6 0

3 years ago

HELP ME ASAP! ONLY PEOPLE WHO ARE GOOD AT GEOMETRY!!!

Scrat [10]

You take 120/3=40
So you have 40

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4 years ago

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mestny [16]

Answer:

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7 0

3 years ago

Read 2 more answers

Can i plz have some help with this

Dennis_Churaev [7]

Answer:

66.56 cm

Step-by-step explanation:

First, let's find the circumference of a circle with radius 8 cm.

2 * 8 * 3.14 = 50.24

Now, since we only need a 1/4 of the circumference, divide that number by 4

50.24 / 4 = 12.56

Add up the rest of the sides

12.56 + 10 + 17 + 10 + 9 = 66.56

8 0

4 years ago

Read 2 more answers

Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard deviation of 17. Use the empirical rule

Citrus2011 [14]

Answer:

(a) 95% of people has an IQ score between 66 and 134.

(b) 5% of people has an IQ score less than 66 or greater than 134.

(c) 2.5% of people has an IQ score greater than 134.

Step-by-step explanation:

We are given that Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard deviation of 17.

Let X = Scores of an IQ test

So, X ~ Normal( $\mu=100, \sigma^{2} = 17^{2}$ )

Now, the Empirical rule states that;

68% of the data values lies within one standard deviation of the means.
95% of the data values lies within two standard deviation of the means.
99.7% of the data values lies within three standard deviation of the means.

That is; [ $\mu-\sigma,\mu+\sigma$ ] = [ $100-17,100+17$ ]

= $[83,117]$

[ $\mu-2\sigma,\mu+2\sigma$ ] = [ $100-34,100+34$ ]

= $[66,134]$

[ $\mu-3\sigma,\mu+3\sigma$ ] = [ $100-51,100+51$ ]

= $[49,151]$

(a) Percentage of people that has an IQ score between 66 and 134 is given by = P(66 < X < 134)

As seen above this value lies in the second category which means that 95% of people that has an IQ score between 66 and 134.

(b) Percentage of people that has an IQ score less than 66 or greater than 134 is given by;

As we know that 95% of the data values lies within 66 and 134, so the percentage of people that has an IQ score less than 66 or greater than 134 is = 100% - 95% = 5%.

(c) Since it has been calculated above that 5% of people has an IQ score less than 66 or greater than 134 which means half of these people will lie below score of 66 and half of these will lie above score of 134.

SO, percentage of people that has an IQ score greater than 134 = $\frac{5\%}{2}$ = 2.5%

Hence, 2.5% of people has an IQ score greater than 134.

3 0

3 years ago