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Zolol [24]
3 years ago
6

An airline finds that if it prices a cross-country ticket at $300, it will sell 200 tickets per day. It estimates that each $10

price reduction will result in 50 more tickets sold per day. Find the ticket price (and the number of tickets sold) that will maximize the airline's revenue
Mathematics
1 answer:
Rom4ik [11]3 years ago
8 0

Answer:

Ticket price = $170

Number of tickets sold = 850

Step-by-step explanation:

Let X= the number of $10 price reduction and the number of 50 tickets increase

Let p= price per ticket

Let q= number of tickets sold

Let R= revenue

Let p(x) = price of ticket now sold

Let q(x) = number of tickets now sold

R(x) = p(x) * q(x)

P(x) = 300 - 10x

q(x)= 200 + 50x

R(x) = (300 -10x) (200 - 50x)

= 60000 + 15000x - 2000x - 500x^2

= 60000 + 13000x - 500x^2

Differentiate with respect to x

dR(x)/dx = 13000-1000x

Put dR(x)/dx = 0

0= 13000 - 1000x

1000x = 13000

Divide through by 1000

1000x/1000 = 13000/1000

x = 13

Therefore x = 13 for $10 price reduction and 50 tickets increase

p(x) = 300 - 10x

= 300 - 10*13

= 300 - 130

= $170

q(x) = 200 + 50x

= 200 + 50*13

= 200 + 650

= 650

Maximum Revenue = p(x) * q(x)

= 170 * 850

= $144,500

For 13 reductions, we have $170 price reduction and 850 ticket sales

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There are 10 sweets in a bag.
Valentin [98]

Answer:

See Explanation Below

Step-by-step explanation:

Given

Total Sweets = 10

Red = 4

Green = 2

Yellow = 3

Purple = 1

Required

a & b

The question is not properly presented; however the solution is as follows;

A.

Let P(Yellow) represent the probability of selecting a yellow sweet and n(Yellow) represent the number of Yellow sweets;

P(Yellow) = \frac{n(Yellow)}{Total}

P(Yellow) = \frac{4}{10}

P(Yellow) = 0.4

So, whichever letter that shows 0.4 or \frac{4}{10} is the probability of choosing a yellow sweet

B.

Let P(Orange) represent the probability of selecting an orange sweet and n(Orange) represent the number of orange sweets;

Since, there's no orange sweet in the bag;

n(Orange) = 0

P(Orange) = \frac{n(Orange)}{Total}

P(Orange) = \frac{0}{10}

P(Orange) = 0

In probability; opposite probabilities add up to 1;

Let P(Not\ Orange) represent the probability of choosing a sweet that is not orange

P(Not\ Orange)  + P(Orange) = 1

Substitute P(Orange) = 0

P(Not\ Orange)  + 0 = 1

P(Not\ Orange) = 1

So, whichever letter that shows 0 is the probability of choosing a sweet that is not orange

6 0
3 years ago
Compute the discriminant D(x,y)D(x,y) of the function. f(x,y)=x3+y4−6x−2y2+3 f(x,y)=x3+y4−6x−2y2+3 (Express numbers in exact for
Igoryamba

Answer:

Point                Critical point

Q (2,0)                 local minimum

R (-2,1)                 Saddle

S (2,-1)                  local maximum

T ( -2,-1)                Saddle

O ( -2,0)                Saddle

Step-by-step explanation: INCOMPLETE ANSWER INFORMATION ABOUT THE POINTS ARE RARE

f(x,y) = x³ +y⁴ - 6x -2y² +3

df/dx = f´(x) = 3x² -6x

df/dxdx = f´´(xx) = 6x

df/dy = f´(y) = -4y

df/dydy = 4

df/dydx = df/dxdy = 0

df/dydy = f´´(yy)

D = [ df/dxdx *df/dydy] - [df/dydx]²

D = (6x)*4 - 0

D = 6*2*4     D > 0 and the second derivative on x is  6*2 = 12

so  D > 0 and df/dxdx >0  there is a local minimum in P

Q(2,1)

D = (6*2)*4  D>0  and second derivative on x is 6*2

The same condition there is a minimum in Q

R ( -2,1)

D = 6*(-2)*4 = -48  D< 0 there is a saddle point in R

S (2,-1)

D = 6*2*4 = 48  D > 0 and  df/dxdx = 6*-1  = -6

There is a maximum in S

T ( -2,-1)

D = 6*(-2)*(4) = -48  D<0 there is a saddle point in T

O ( -2,0)

D = 6*(-2)*4 = -48 D<0  there is a saddle point in O

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Step-by-step explanation:

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Step-by-step explanation:

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