Since the sum of any two sides is greater than the third, hence the three sides for the sides of a triangle
<h3>What is a triangle?</h3>
A triangle is a 2-D shape with 3sides and angles. According to the question, we are to determine whether the given measures form sides of a triangle.
For the following measure to form the sides of a triangle, the sum of any two sides must be equal to the third as shown:
3 + 12 = 15 > 13
3 + 13 = 16 > 12
13 + 12 = 25 > 3
Since the sum of any two sides is greater than the third, hence the three sides for the sides of a triangle
Learn more triangle here: brainly.com/question/2217700
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Answer:
7
Step-by-step explanation:
use distributive property first
2x-4=10
then, add positive 4 to -4 and 10 because opposite signs cancel out
2x=14 then we divide
Answer:
8
Step-by-step explanation:
5 and 1/3 is also 16/3. Then, 2x8 equals 16
Answer:
Option C
Step-by-step explanation:
Given inequality is,
5x + 38 ≤ 4(2 - 5x)
5x + 38 ≤ 8 - 20x [Distributive property]
5x + 20x + 38 ≤ 8 - 20x + 20x [By adding 20x on both the sides of the inequality]
25x + 38 ≤ 8
(25x + 38) - 38 ≤ 8 - 38 [By subtracting 38 on both the sides of the inequality]
25x ≤ -30
[Dividing by 25 on both the sides of the inequality]
x ≤ 1.2
Therefore, Option (C) will be the correct graph.
Answer:
The mean is the better method.
Step-by-step explanation:
The best way to meassure the average height is throught mean. The mean of a sample is the average of that sample's height, and it will be a good estimate for the population's average height.
The mode just finds the most frequent height. Even tough the most frequent height will influence the average height, knowing only what height is the most frequent one doesnt give you enough informtation about how the height is centrally distributed.
As for the median, it is fine to use the median of a sample to estimate the median of the population, but if you use the median to estimate the average height you may have a few issues. For example, if you include babies in your population, the babies will push the average height down a lot and they are far below te median height. This, as a result, will give you a median height of a sample way above the average height of the population, becuase median just weights every person's height the same, while average will weight extreme values more, in the sense that a small proportion of extreme values can push the average far from the median.