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tatuchka [14]
3 years ago
5

How do I find the perimeter of a right triangle

Mathematics
2 answers:
Vlad [161]3 years ago
8 0

Answer: Just add the sides of the triangle like so a^2 + b^2 = c^2.

Triss [41]3 years ago
7 0

Answer:

You find the perimeter by adding all the side measurements of the shape (in this case, a right triangle) together.

~

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Solve 2x – 7 > 11.
BaLLatris [955]

Answer:

x > 9

Step-by-step explanation:

2x - 7 > 11

2x > 18

x > 9

5 0
3 years ago
From a set of 27 ​marbles, 4 white​, 12 black​, and 11 green​, we choose one at random. What are the odds in favor of choosing a
garik1379 [7]

Answer:

4/27 chance of getting a white marble.

Step-by-step explanation:

There are 4 white marbles but there are 27 marbles in total. If you wanted a percentage, then divide 4 by 27 and place the decimal two places to the right once you founded your answer.

(sorry if it's a bad explanation)

6 0
3 years ago
ECA is a semi equilateral triangle at C,
stiks02 [169]

Answer: its 50

Step-by-step explanation:

6 0
1 year ago
A hockey puck has a diameter of 3 inches and rolls on its edge for 24 rotations. How far did it roll before falling flat?
scoundrel [369]

Find the circumference of the puck using circumference = pi x diameter

Circumference = 3.14 x 3 = 9.42 inches.

For every rotation the puck would travel 9.42 inches.

Now multiply y by 24 rotations:

9.42 x 24 = 226.08 inches.

Answer: 226.08 inches

4 0
3 years ago
Which of the following is NOT a conclusion of the Central Limit​ Theorem? Choose the correct answer below. A. The mean of all sa
ANTONII [103]

Answer:

The distribution of the sample data will approach a normal distribution as the sample size increases.

Step-by-step explanation:

Central limit​ theorem states that the mean of all samples from the same population will be almost equal to the mean of the population, if the large sample size from a population, is given with a finite level of variance.

So, here Option C is not correct conclusion of central limit theorem -The distribution of the sample data will approach a normal distribution as the sample size increases.

We can say that the average of sample mean tends to be normal but not the sample data.

7 0
2 years ago
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