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ipn [44]
3 years ago
9

HELP WITH THIS ASAP!

Mathematics
1 answer:
Mars2501 [29]3 years ago
8 0

Answer:

Hi, there your answer will C. 85pi ft^2

Step-by-step explanation:

pi(5)(12)+pi(5)^2

60pi+25pi

85pi ft^2

Hope this helps :)

You might be interested in
Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distribut
defon

Answer:

0.8665 = 86.65% probability that the sample mean would be at least $39000

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean $39725 and standard deviation $7320.

This means that \mu = 39725, \sigma = 7320

Sample of 125:

This means that n = 125, s = \frac{7320}{\sqrt{125}} = 654.72

The probability that the sample mean would be at least $39000 is about?

This is 1 subtracted by the pvalue of Z when X = 39000. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{39000 - 39725}{654.72}

Z = -1.11

Z = -1.11 has a pvalue of 0.1335

1 - 0.1335 = 0.8665

0.8665 = 86.65% probability that the sample mean would be at least $39000

4 0
3 years ago
Comment all that apply
max2010maxim [7]
MCEA=90
mBEF=135
CEF is straight
AEF is right<span />
4 0
3 years ago
A 15oz iced tea at a certain restaurant has 90 calories. How many calories are there in a 23oz iced tea?
Lyrx [107]

Answer:

138 calories

Step-by-step explanation:

one Oz iced tea = 90/15 = 6

one Oz iced tea = 6 calories

23 Oz iced tea = 6 x 23 = 138 calories

7 0
2 years ago
Write the fraction of 15/25 in its simple form​
Shkiper50 [21]
The answer would be 3/5
6 0
2 years ago
Read 2 more answers
I need help please !!!!!!!!!!!!
marin [14]
This picture shows how to think and answer.

7 0
2 years ago
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