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Ivanshal [37]
3 years ago
12

A charter flight charges a fare of $300 per person plus $15 per person for each unsold seat on the plane. The plane holds 100 pa

ssengers. Let x represent the number of unsold seats. Find an expression for the total revenue received for the flight R(x). R(x)= Choose the correct graph of the function, R(x), below. The number of unsold seats that will produce the maximum revenue is (Round to the nearest whole number as needed.) The maximum revenue is $. (Round to the nearest whole number as needed.)

Mathematics
1 answer:
Umnica [9.8K]3 years ago
4 0

Answer:

The maximum revenue is $54,000 for 40 unsold seat plane.

Step-by-step explanation:

We are given the following in the question:

A charter flight charges a fare of $300 per person plus $15 per person for each unsold seat on the plane. The plane holds 100 passengers. Let x represent the number of unsold seats.

Total number of seats occupied = 100 - x

Revenue is given by  

R(x) = (300+15x)(100-x)\\R(x) = 30000 + 1200x -15x^2

First, we differentiate R(x) with respect to x, to get,

\dfrac{d(R(x))}{dx} = \dfrac{d(30000 + 1200x -15x^2)}{dx} = 1200 - 30x

Equating the first derivative to zero, we get,

\dfrac{d(R(x))}{dx} = 0\\\\1200 - 20x= 0\\x = 40

Again differentiation R(x), with respect to x, we get,

\dfrac{d^2(R(x))}{dx^2} = -30

At x = 40

\dfrac{d^2(R(x))}{dx^2} < 0

Thus, by double differentiation test maxima occurs at x = 40 for R(x).

Maximum revenue:

R(40) = (300+15(40))(100-40) = 54000

Thus, maximum revenue is $54,000 for 40 unsold seat plane.

The attached image shows the graph for the total revenue received for the flight

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Suppose that you are given a bag containing n unbiased coins. You are told that n-1 of these coins are normal, with heads on one
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Answer:

The (conditional) probability that the coin you chose is the fake coin is 2/(1 + n)

Step-by-step explanation:

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Total unbiased coin = n

Normal coins =n - 1

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The (conditional) probability that the coin you chose is the fake coin is represented by

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And it's calculated as follows;

P(Fake | Head) = P(Fake, Head) ÷ P(Head) ----- (1)

Where P(Fake, Head) = P(Fake) * P(Head | Fake)

P(Fake) = 1/n --- because only one is fake

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So, P(Fake, Head) = P(Fake) * P(Head | Fake) becomes

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P(Fake) * P(Head | Fake) = P(Fake, Head) = 1/n (as calculated above)

P(Normal) * P(Head | Normal) = ½ * (n - 1)/n ----- considering that the coin also has a tail with equal probability as that of the head.

Going back to (1)

P(Fake | Head) = P(Fake, Head) ÷ P(Head) becomes

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Hence, the (conditional) probability that the coin you chose is the fake coin is 2/(1 + n)

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