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Zinaida [17]
3 years ago
11

Explain how to write a composite function to find the area of the region at time t.

Mathematics
1 answer:
andrey2020 [161]3 years ago
5 0

Answer:

The composite function is:a(r(t)) = π (0.5 + 2t)²After simplification it becomes:a(r(t)) = π (0.25 + 2t + 4t²)Step-by-step explanation:Here is the complete function:a circular oil spill continues to increase in size. the radius of the oil spill, in miles, is given by the function r(t) = 0.5 + 2t, where t is the time in hours. the area of the circular region is given by the function a(r) = πr², where r is the radius of the circle at time t.  Explain how to write a composite function to find the area of the region at time t.Solution:The composite function is written by applying one function to another. The requirement of this question is to write a composite function to find are of region at time t.Leta(r) = πr²is function 1andr(t) = 0.5 + 2tis function 2ThenThis means that function r(t) should be applied to a(r) and it should be inside function a(r)Then composite function becomes:a(r(t))Now put the value of r(t) = 0.5 + 2t into a(r) = πr²a(r(t)) = π (0.5 + 2t)²So this is the composite function to find area of the region at time tSimplifying this equation we get:a(r(t)) = π (0.5 + 2t)²        = π (0.5 + 2t) (0.5 + 2t)       =  π [(0.5 * 0.5)+ (0.5 * 2t) + (2t * 0.5) + (2t *2t)]       = π (0.25 + 1t +  1t + 4t²)       = π ( 0.25 + t + t + 4t²)       = π (0.25 + 2t + 4t²)a(r(t)) = π (0.25 + 2t + 4t²)

Step-by-step explanation:

Hope it helps you ✌️

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The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

Step-by-step explanation:

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.

Population:

Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000

Sample of 40

Shape approximately normal

Mean 350000

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The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

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Answer:

The z-score when x=187 is 2.41. The mean is 187. This z-score tells you that x = 187 is 2.41 standard deviations above the mean.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

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In this question:

\mu = 152, \sigma = 14.5

The z-score when x=187 is ...

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

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