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amm1812
3 years ago
6

Is that right? I'll post the pic

Mathematics
2 answers:
puteri [66]3 years ago
5 0

Answer:

Yes, it is right.......

frez [133]3 years ago
3 0

Answer:

I believe it is, I skimmed across it looks accurate to me

Step-by-step explanation:

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An equilateral triangle has a perimeter of 24 centimeters. If the triangle is dilated by a factor of 0.5, what is the length of
dimulka [17.4K]

Answer:

4

Step-by-step explanation:

To find the side length of the original triangle:

24/3=8 (because it is an equilateral triangle).

Because the triangle is dilated by a factor of 0.5 and the triangle is equilateral, the side lengths of the new triangle is

8*0.5=4

4 0
3 years ago
The graph shows the soulution
stepladder [879]

Answer:

B. (3, -2)

Step-by-step explanation:

The solution of the system of the equations given, can be determined using the graph. The coordinate of the point where the two lines of both equations intersect is the solution.

Both lines intersect at x = 3, when y = -2.

Therefore, the solution would be (3, -2).

4 0
3 years ago
If a pattern starts with one and doubles each term(1,2,4,8,16...) what is the algebraic pattern rule from y(term value) to x(ter
grin007 [14]

Answer:

Step-by-step explanation:

y=a(r)^{n-1}

y=1(2)^{x-1}

7 0
3 years ago
Suppose x has a distribution with μ = 10 and σ = 9. (a) If a random sample of size n = 43 is drawn, find μx, σ x and P(10 ≤ x ≤
JulsSmile [24]

Answer:

P(10 ≤ x ≤ 12) = 0.4274

Step-by-step explanation:

Population mean = u = 10

Population Standard Deviation = \sigma = 9

Sample size = n = 43

Sample mean(\mu_{x}) is equal to the population mean. So,

Sample mean = \mu_{x} = 10

Sample standard deviation(\sigma_{x}) is equal to population standard deviation divided by square root of sample size. So,

Sample standard deviation = \sigma_{x} = \frac{9}{\sqrt{43}}=1.372

We have to find the probability that for a random sample of n = 43, the value lies between 10 and 12 i.e. P(10 ≤ x ≤ 12)

P(10 ≤ x ≤ 12) = P(x ≤ 12) - P( x ≤ 10)

We can find P(x ≤ 12 ) and P(x ≤ 10) by converting these values to z scores.

The formula for z score is:

z=\frac{x-\mu_{x}}{\sigma_{x}}

For x =12, we get:

z=\frac{12-10}{1.3725}=1.457

For x =10, we get:

z=\frac{10-10}{1.3725}=0

So,

P(x ≤ 12) - P( x ≤ 10) = P(z ≤ 1.457) - P(z ≤ 0)

From the z table,

P(z ≤ 1.457) = 0.9274

P(z ≤ 0) = 0.5

So,

P(x ≤ 12) - P( x ≤ 10) = P(z ≤ 1.458) - P(z ≤ 0) = 0.9274 - 0.5 = 0.4274

So,

P(10 ≤ x ≤ 12) = P(x ≤ 12) - P( x ≤ 10) = 0.4274

Therefore,

The probability that for a random sample of size 43, the mean lies between 10 and 12 is 0.4274.

8 0
3 years ago
Given that f(x) = 4x + 5 and g(x) = x2 - 2x - 2, find (f + g)(x).
zavuch27 [327]

Answer:

A

Step-by-step explanation:

You just add the two equations

(4x+5)+(x²-2x-2)

combine like terms

x²+2x+3

A

6 0
3 years ago
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