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Vlad [161]
4 years ago
5

What is the volume of a pyramid whose base is a square of area 36 and whose four faces are equilateral triangles?

Mathematics
1 answer:
irina1246 [14]4 years ago
5 0

Answer:

V = 36\sqrt{2}

Step-by-step explanation:

The volume of a pyramid is

V = \dfrac{1}{3}Bh

where B = area of the base, and h = height of the pyramid

The base is a square.

A = s^2

s = \sqrt{A}

s = \sqrt{36}

s = 6

The side of the base has length 6. Each face of the pyramid is an equilateral triangle with side of length 6.

An altitude of this triangle measures

a = \sqrt{6^2 - 3^2}

a = \sqrt{27}

The pyramid is formed by 4 equilateral triangles whose bases form a square. The tips of the faces meet at a single point on top. The vertical distance from that point to the center of the base is the height of the pyramid.

h = \sqrt{(\sqrt{27})^2 - 3^2 }

h = \sqrt{27 - 9}

h = \sqrt{18}

h = 3 \sqrt{2}

Volume of the pyramid:

V = \dfrac{1}{3}Bh

V = \dfrac{1}{3}(36)(3\sqrt{2})

V = 36\sqrt{2}

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4 years ago
Factor the expression. 10g^3 12g^2 – 15g – 18
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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

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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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