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mariarad [96]
3 years ago
9

Can someone please help me with this!!!!

Mathematics
2 answers:
balandron [24]3 years ago
7 0
You can use the similarity approach of these two triangles CBD and CAE

as a result:
\frac{BD}{AE} = \frac{10}{2x} = \frac{CD}{CE} = \frac{3x}{?}

so:
? = 6x^2 / 10 = 0.6 x^2

and the fact of:

"The segment connecting the midpoints of two sides of a triangle is parallel to the third side and equals its half length"

so:BD = 0.5 AE        10 = 0.5 * 2x        >>> x= 10


Back to:
? =0.6 x^2 = 0.6 * 10^2 = 0.6 * 100 = 60



A

Hope that helps
rjkz [21]3 years ago
3 0
In a triangle the midline joining the midpoints of two sides is parallel to the third side and half as long ⇒

AE = BD*2 = 10*2 = 20
also AE = 2x (given) ⇒
2x = 20
x = 20/2
x = 10

CD = 3x = 3*10 = 30

BD is the midsegment of ΔACE ⇒ ΔBCD <span>∼ </span>ΔACE therefore:

\frac{BD}{CD}= \frac{AE}{CE} \ \ \ \to \ \ \  CE= \frac{CD*AE}{BD}= \frac{30*20}{10}=60

Answer: 60
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A physical therapist wants to determine the difference in the proportion of men and women who participate in regular sustained p
Alekssandra [29.7K]

Using the z-distribution and the formula for the margin of error, it is found that:

a) A sample size of 54 is needed.

b) A sample size of 752 is needed.

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of \alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which z is the z-score that has a p-value of \frac{1+\alpha}{2}.

The margin of error is of:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

90% confidence level, hence\alpha = 0.9, z is the value of Z that has a p-value of \frac{1+0.9}{2} = 0.95, so z = 1.645.

Item a:

The estimate is \pi = 0.213 - 0.195 = 0.018.

The sample size is <u>n for which M = 0.03</u>, hence:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.03 = 1.645\sqrt{\frac{0.018(0.982)}{n}}

0.03\sqrt{n} = 1.645\sqrt{0.018(0.982)}

\sqrt{n} = \frac{1.645\sqrt{0.018(0.982)}}{0.03}

(\sqrt{n})^2 = \left(\frac{1.645\sqrt{0.018(0.982)}}{0.03}\right)^2

n = 53.1

Rounding up, a sample size of 54 is needed.

Item b:

No prior estimate, hence \pi = 0.05

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.03 = 1.645\sqrt{\frac{0.5(0.5)}{n}}

0.03\sqrt{n} = 1.645\sqrt{0.5(0.5)}

\sqrt{n} = \frac{1.645\sqrt{0.5(0.5)}}{0.03}

(\sqrt{n})^2 = \left(\frac{1.645\sqrt{0.5(0.5)}}{0.03}\right)^2

n = 751.7

Rounding up, a sample of 752 should be taken.

A similar problem is given at brainly.com/question/25694087

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