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Lostsunrise [7]
2 years ago
13

The lengths of the sides of the base of a right square pyramid are 3 feet, and its slant height is 8 feet. If the sides of the b

ase are increased to 9 feet, and the slant height is increased to 24 feet, by what factor is the surface area multiplied? A. 27 B. 9 C. 6 D. 3
Mathematics
1 answer:
8_murik_8 [283]2 years ago
5 0

Answer:

B. 9

Step-by-step explanation:

The base of a right square pyramid is a square, and we know that the lengths of the square are 3. We can calculate the original area of the base as: 3 * 3 = 9 ft squared.

The slant height is the height of the triangular sides of the pyramid. We know that it's 8 feet, and that the base of the triangle shares a side with the square, so b = 3. Knowing that h = 8 and b = 3, we can apply the triangle area formula: (b * h) / 2 = (8 * 3) / 2 = 24/2 = 12 ft squared. However, there are 4 triangles, so we multiply 12 by 4: 12 * 4 = 48 ft squared.

We add 48 to 9 to get the total original surface area: 48 + 9 = 57 ft squared.

Now, however, the sides of the base of the square are increased to 9 ft, so our new area is 9 * 9 = 81 ft squared.

The slant height becomes 24 ft, so our new triangle area is: (24 * 9)/2 = 216/2 = 108 ft squared. We multiply that by 4: 108 * 4 = 432 ft squared.

The new surface area is thus 81 + 432 = 513 ft squared.

To find the factor the original surface area is multiplied by, we divide 513 by 57: 513 / 57 = 9.

Thus, the answer is B, 9.

Hope this helps!

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Step-by-step explanation:

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The sum of a number x and -7 is less than or equal to 18.
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Step-by-step explanation:

x + (-7) ≤ 18

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There are 2,000 eligible voters in a precinct. A total of 500 voters are randomly selected and asked whether they plan to vote f
Ann [662]

Answer:

0.7 - 2.58 \sqrt{\frac{0.7(1-0.7)}{500}}=0.647

0.7 + 2.58 \sqrt{\frac{0.7(1-0.7)}{500}}=0.753

And the 99% confidence interval would be given (0.647;0.753).

So the correct answer would be:

a. 0.647 and 0.753

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

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

Solution to the problem

The estimated population proportion for this case is:

\hat p = \frac{350}{500}=0.7

The confidence interval would be given by this formula

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

For the 99% confidence interval the value of \alpha=1-0.99=0.01 and \alpha/2=0.005, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=2.58

And replacing into the confidence interval formula we got:

0.7 - 2.58 \sqrt{\frac{0.7(1-0.7)}{500}}=0.647

0.7 + 2.58 \sqrt{\frac{0.7(1-0.7)}{500}}=0.753

And the 99% confidence interval would be given (0.647;0.753).

So the correct answer would be:

a. 0.647 and 0.753

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