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FrozenT [24]
3 years ago
15

4) If the perimeter of a square is 48cm",

Mathematics
2 answers:
katrin [286]3 years ago
8 0

The length of each side is 12cm.

Explanation:

The perimeter of a square is calculated by the formula:

P = 4a , where  P = perimeter, and a = length of any side, all sides being equal in a square.

From the given data we write:

48 = 4a

Divide both sides by

4.12 = a

The length of each side is 12cm.

Mila [183]3 years ago
3 0

Answer:

If the total perimeter of square is 48 cm, then the length of one side is equal to 48 divided by 4, since all sides of a square are the same.

So, the correct answer is 12.

Let me know if this helps!

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mestny [16]
The answer is J. 2.0. This is because when you substitute in N = 2, you get (4.2 × 2)/1.2 = 8.4/1.2 = 7, and 7 is an integer.
I hope this helps!
8 0
3 years ago
Idk what it means.why is it not reasonable to say that 4.23 is less than 4.135
RSB [31]

it is unreasonable because 4.23 is bigger than 4.135! Look at the 10s place - 1 is smaller than 2, and everything afterwards is irrelevant. There could be as many zeros or any combination of numbers you want, but as long as that tens place is larger (2 vs 1), than it's not reasonable to say 4.2 is smaller!!

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Is 0.7 a rational or irrational number??
soldier1979 [14.2K]
0.7 Is An Irrational Number, Not A Rational Number
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3 years ago
Twelve different video games showing violence were observed. The duration times of violence were​ recorded, with the times​ (sec
Softa [21]

Answer:

The requirements that must be satisfied are:

- The sample should be reasonably random.

- The sample size should not be higher than 10% of the population.

- The data should not have outliers or excessive skewness.

- The data should be normal or with a sample large enough (usually n>30).

There is no enough information to know if the requirements are satisfied.

Step-by-step explanation:

Ths test hypothesis would be a t-test.

The requirements that must be satisfied are:

- The sample should be reasonably random.

- The sample size should not be higher than 10% of the population.

- The data should not have outliers or excessive skewness.

- The data should be normal or with a sample large enough (usually n>30).

Some conditions are not met, as the sample size (n=12) which is not big enough.

We don't know also if the sample was taken randomly. The size of the sample respect to the population is also unknown.

In conclusion, we can not tell if the requirements are satisfied.

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disa [49]
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