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Svetlanka [38]
2 years ago
12

triangle abc is similar to triangle def. if the perimeter of abc is 24 inches whats the perimeter of def. Btw its #7.

Mathematics
1 answer:
frozen [14]2 years ago
4 0

Answer:

16

Step-by-step explanation:

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Can someone help me figure this out: Factor 12y^2-27? I keep getting the steps confused.
alukav5142 [94]
Factor out the gcf first.

3(4y^2-9)

The binomial inside is a perfect square so keep factoring.

3(2y+3)(2y-3)

The pair of binomials cannot be further factored so stop there.
8 0
3 years ago
If x and x+ 10 are a pair of adjacent angle find them ​
ikadub [295]

Answer:

85° and 95°

Step-by-step explanation:

Given that , x and x + 10 are a pair of angles .

  • If they will be pair of angles on the same line , then their sum will be 180° .

=> x + x + 10° = 180°

=> 2x = 180° -10°

=> 2x = 170°

=> x = 170°/2

=> x = 85° .

<h3><u>Hence </u><u>the </u><u>two </u><u>angles</u><u> </u><u>are </u><u>8</u><u>5</u><u>°</u><u> </u><u>and </u><u>9</u><u>5</u><u>°</u><u> </u><u>.</u></h3>
5 0
3 years ago
Pre Cal | Multiple Choice | Apex
Contact [7]

Ellipse is your answer, because if you plug the equation into a graphing calculator and identify the conic, the term ellipse is given-

5 0
3 years ago
Which equation has two real solutions?
Otrada [13]
C and d is indubitably correct
5 0
3 years ago
Suppose the probability that a softball player gets a hit in any single at-bat is 0.300. Assuming that her chance of getting a h
Ksivusya [100]

Answer:

P(X=4)=(1-0.3)^{4-1} 0.3 = 0.103

The probability that she will not get a hit until her fourth time at bat in a game is 0.103

Step-by-step explanation:

Previous concepts

The geometric distribution represents "the number of failures before you get a success in a series of Bernoulli trials. This discrete probability distribution is represented by the probability density function:"

P(X=x)=(1-p)^{x-1} p

Let X the random variable that measures the number os trials until the first success, we know that X follows this distribution:

X\sim Geo (1-p)

Solution to the problem

For this case we want this probability

P(X=4)

And using the probability mass function we got:

P(X=4)=(1-0.3)^{4-1} 0.3 = 0.103

The probability that she will not get a hit until her fourth time at bat in a game is 0.103

4 0
3 years ago
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