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KIM [24]
3 years ago
12

What type of triangle (right, obtuse, acute) do the angles 5,5,5 form?

Mathematics
1 answer:
ziro4ka [17]3 years ago
4 0

Answer:

acute

Step-by-step explanation:

5 is lower than a 90* angle

if this is wrong I'm very sorry.

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3 intersecting lines are shown. A line contains points E, D, A, and B. Another line intersects the line at point A and contains
GREYUIT [131]

Answer:

The one with arrows are the answers

->Line segment E B  is bisected by Line segment D F .

->A is the midpoint of Line segment F C .

Line segment F C  bisects Line segment D B.

->Line segment E B  is a segment bisector.

->FA = One-halfFC.

Line segment D A is congruent to Line segment A B .

Step-by-step explanation:

I did it on edge and got it right

5 0
2 years ago
Read 2 more answers
Angles X and Y are congruent. Imported Asset and Imported Asset . Find the degree measure of angle X.
Sphinxa [80]
You can use a diffrent kind of ruler for math then you could find the answer.
8 0
2 years ago
(9+8)+32=49 which property is this
Sergio [31]
Associativity means
(A+B)+C=A+(B+C)=A+B+C

Substitute A=9, B=8, C=32 to apply to this problem.
6 0
3 years ago
2x + y = 9<br>3x - y = 16​
snow_tiger [21]

Answer:

X=7 y=-5

Step-by-step explanation:

2x+y=9

3x-y=16

use the process of elimination finding out what works for one problem and try it on the other until they both work

7 0
3 years ago
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The fuel efficiency in miles per gallon of all bmw 320i's is (approximately) normally distributed with a mean of 25 and a standa
grigory [225]
Given:
μ = 25 mpg, the population mean
σ = 2 mpg, the population standard deviation

If we select n samples for evaluation, we should calculate z-scores that are based on the standard error of the mean.
That is,
z= \frac{x-\mu}{\sigma / \sqrt{n} }

The random variable is x = 24 mpg.

Part (i):  n = 1
σ/√n = 2
z = (24 -25)/2 = -0.5
From standard tables,
P(x < 24) = 0.3085

Part (ii): n = 4
σ/√n = 1
z = (24 -25)/1 = -1
P(x < 24) = 0.1587

Part (iii): n=16
σ/√n = 0.5
z = (24 - 25)/0.5 = -2
P(x < 24) = 0.0228

Explanation:
The larger the sample size, the smaller the standard deviation.
Therefore when n increases, we are getting a result which is closer to that of the true mean.
6 0
3 years ago
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