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Zinaida [17]
3 years ago
7

Find the surface area of the cylinder below. *

Mathematics
1 answer:
dybincka [34]3 years ago
3 0

Answer:

153

Step-by-step explanation:

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2.828 i think

Step-by-step explanation:

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If n is "the number," which equation could be used to solve for the number?
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Juan Jiménez le debe a Luis  $15, a José le debe $ 8 y a Dana $ 20 y a Juan Jiménez le debe $ 17 Ana,  $ 5 Daniela y $ 21 Pedro.
Lapatulllka [165]

Answer :

Los dos debe y le deben porgue son diffirentes personas. Cuando le pagen los tres Ana, 'daniela y Pedro puede pagarle a Luis, Jose y Juan

Step-by-step explanation:

Juan debe un total de  $43 a Luis, Jose y  Juan

Ana, Daniela y Pedro  le deben  a Juan  un total de $43  

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3 years ago
The general form of an exponential function is y = abx. Use the regression calculator to find the values of a and b for the wate
Arisa [49]

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Step-by-step explanation:

This is the answer on edju

3 0
2 years ago
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Suppose that the population mean for income is $50,000, while the population standard deviation is 25,000. If we select a random
Fudgin [204]

Answer:

Probability that the sample will have a mean that is greater than $52,000 is 0.0057.

Step-by-step explanation:

We are given that the population mean for income is $50,000, while the population standard deviation is 25,000.

We select a random sample of 1,000 people.

<em>Let </em>\bar X<em> = sample mean</em>

The z-score probability distribution for sample mean is given by;

               Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean = $50,000

            \sigma = population standard deviation = $25,000

            n = sample of people = 1,000

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the sample will have a mean that is greater than $52,000 is given by = P(\bar X > $52,000)

  P(\bar X > $52,000) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{52,000-50,000}{\frac{25,000}{\sqrt{1,000} } } ) = P(Z > 2.53) = 1 - P(Z \leq 2.53)

                                                                    = 1 - 0.9943 = 0.0057

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 2.53 in the z table which has an area of 0.9943.</em>

Therefore, probability that the sample will have a mean that is greater than $52,000 is 0.0057.

5 0
2 years ago
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