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3 years ago

Please answer this I will give brainliest thank you very much for your help

Mathematics

1 answer:

ch4aika [34]3 years ago

7 0

Answer:

$486yd^2$

Step-by-step explanation:

Surface area is found by adding all the areas of like shapes.

All of these are the exact same size, so we can just multiply by the number of squares by their area.

So:

$A=6(9)(9)\\A=6(81)\\A=486yd^2$

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Usimov [2.4K]

Answer:

15/2 = 7,5

7.5m (m for minutes) p

7.5p <---- equation

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2 years ago

What equation should be used to find the area of a shape trapezoid?

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Answer:

Step-by-step explanation:

According to the trapezoid area formula, the area of a trapezoid is equal to half the product of the height and the sum of the two bases. Area = ½ x (Sum of parallel sides) x (perpendicular distance between the parallel sides). Where, h is the height and b1 and b2 are the parallel sides of the trapezoid.

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Read 2 more answers

Your teacher will report the mean and standard deviation of the sampling distribution created by the class.

sukhopar [10]

Answer:

$\hat p = \frac{\sum_{i=1}^{40} \hat p_i}{40}$

$\hat p = 0.493$

And the deviation is given by this formula:

$s_{\hat p}= \frac{\sum_{i=1}^{40} (\hat p_i - \hat p)^2}{n-1}= 0.085$

And as we can see the population proportion expected for the number of heads 0.5 is very close to the mean of the sampling distribution, the error is :

$\% Error = \frac{0.5-0.493}{0.5}* 100 = 1.4\%$

Step-by-step explanation:

Assuming the data on the figure attached. We ar assuming that this is a sampling distribution of sample proportions of heads in 40 flips of a coin.

As we can see we have the following values:

0.25, 0.35, 0.375,0.375, 0.40,0.40,0.40, 0.425,0.425,0.425, 0.45,0.45,0.45,0.45, 0.475,0.475,0.475, 0.475,0.475, 0.50,0.50,0.50, 0.525,0.525,0.525,0.525, 0.55,0.55,0.55,0.55,0.55, 0.575,0.575,0.575 0.575, 0.575, 0.60,0.60, 0.65,0.65

And we can calculate the sample proportion with the following formula:

$\hat p = \frac{\sum_{i=1}^{40} \hat p_i}{40}$

$\hat p = 0.493$

And the deviation is given by this formula:

$s_{\hat p}= \frac{\sum_{i=1}^{40} (\hat p_i - \hat p)^2}{n-1}= 0.085$

And as we can see the population proportion expected for the number of heads 0.5 is very close to the mean of the sampling distribution, the error is :

$\% Error = \frac{0.5-0.493}{0.5}* 100 = 1.4\%$