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Phoenix [80]
3 years ago
9

The ratio of corresponding side of similar triangles is 5:2, then find the ratio of their areas ​

Mathematics
1 answer:
aleksandrvk [35]3 years ago
7 0

Answer:

25:4

Step-by-step explanation:

The ratio of the sides is 5:2

The ratio of the areas is the scale factor squares

5^2 : 2^2

25:4

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Which one do i choose fam? I suck at geometry
Viefleur [7K]
The best choice would probably be the third option from the top. Since by using the distance formula you can solve for the length or distance of each of the sides of the triangle, and check to see if it is equal. As would be in an equilateral triangle.

Slope wouldn’t be best for the last leg or bottom leg as there is no change in y and x.







5 0
3 years ago
I need help!! Don't just answer for the points!!
Kazeer [188]

Answer: Equation: E= 20H

Earning's after 15 hours: E= 20(15)

                                          E = 300

Step-by-step explanation:

The equation would be E =20H. E means her total earnings. 20 is how much money she earns per hour. H is how many hours she tutors. If you put it all together, you get E = 20H.

To solve how much she would get for 15 hours, plug in 15 for H so E=20(15). 20 x 15 = 300. Therefore, she will get $300 after teaching for 15 hours.

4 0
3 years ago
Suppose a large shipment of microwave ovens contained 12% defectives. If a sample of size 474 is selected, what is the probabili
melisa1 [442]

Answer:

P(\hat p>0.14)

And using the z score given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

Where:

\mu_{\hat p} = 0.12

\sigma_{\hat p}= \sqrt{\frac{0.12*(1-0.12)}{474}}= 0.0149

If we find the z score for \hat p =0.14 we got:

z = \frac{0.14-0.12}{0.0149}= 1.340

So we want to find this probability:

P(z>1.340)

And using the complement rule and the normal standard distribution and excel we got:

P(Z>1.340) = 1-P(Z

Step-by-step explanation:

For this case we have the proportion of interest given p =0.12. And we have a sample size selected n = 474

The distribution of \hat p is given by:

\hat p \sim N (p , \sqrt{\frac{p(1-p)}{n}})

We want to find this probability:

P(\hat p>0.14)

And using the z score given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

Where:

\mu_{\hat p} = 0.12

\sigma_{\hat p}= \sqrt{\frac{0.12*(1-0.12)}{474}}= 0.0149

If we find the z score for \hat p =0.14 we got:

z = \frac{0.14-0.12}{0.0149}= 1.340

So we want to find this probability:

P(z>1.340)

And using the complement rule and the normal standard distribution and excel we got:

P(Z>1.340) = 1-P(Z

4 0
4 years ago
Factor the difference of the perfect square. If the binomial will not factor, write prime.
KATRIN_1 [288]
Easy peasy, this is a representation of differnce of 2 perfect squares
a^2-b^2=(a-b)(a+b)
3 0
3 years ago
Read 2 more answers
Simplify the expression 11x − (2x2 + 8x).
34kurt
11x - (2x^2 + 8x) 

11x-2x^2-8x 

(11x-8x)-2x^2 

3x-2x^2
5 0
3 years ago
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