NorthStar Airlines runs daily flights from Halifax to Montreal.
The planes hold 60 passengers and cater to the business traveller
with comparable business rates. The recent economic downturn has
reduced the occupancy rate of flights to such an extent that
NorthStar would like to offer a set number of seats at discount
rates to gain more passengers. The board of directors is worried
that discounted seats will cut into profit margins and will upset
the regular business traveller. The ticket price for a business
traveller is $350. Discounted tickets would sell for $120. Assuming
that empty seats can be sold if discounted, use the following data
gathered from 100 flights to determine how many seats should be
discounted.
# of full fare passengers | Frequency |
10 | 15 |
20 | 25 |
30 | 25 |
40 | 20 |
50 | 10 |
60 | 5 |
Plane capacity = 60
Business ticket price of full fare, f = $ 350
Discounted ticket price, d = $ 120
Critical ratio = (f-d)/f
= (350-120)/350
= 0.6571
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Cumulative probability distribution of full fare demand
# of full fare passengers | Frequency | Cumulative probability |
10 | 15 | 0.15 |
20 | 25 | 0.4 |
30 | 25 | 0.65 |
40 | 20 | 0.85 |
50 | 10 | 0.95 |
60 | 5 | 1 |
In the above table, look for cumulative probability >= critical ratio (0.6571)
The corresponding # of full fare passengers is 40
Number of seats to be reserved for business travelers = 40
Number of seats to be discounted = 60 - 40
= 20
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ANSWER : 20
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