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Blokie State's football program has risen to the ranks of the elite with postseason bowl games in each of the past 10 years, including a national...
Blokie State’s football program has risen to the ranks of
the elite with postseason bowl games in each of the past
10 years, including a national championship game. The
Blokes (as the fans are called) fill the stadium each game.
Season tickets are increasingly difficult to find. In response
to the outstanding fan support, Blokie State has decided to
use its bowl revenues to expand the stadium to 75,000 seats.
The administration is confident that all 75,000 seats can
be sold at the normal price of $40 per game ticket; however,
Frank Pinto’s job, as athletic director, is to get as much revenue
out of the stadium expansion as possible. In addition to
stadium boxes for the truly endowed, Frank would like to
take this opportunity to repurpose existing seats. A certain
number of seats (yet to be determined) would be set aside
for premium ticket holders who would pay $200 per ticket
for the privilege of 50-yard line seats with chair backs and
access to indoor concessions. The question is, how many
fans would be willing to pay such a premium? If too many
seats are designated in the premium sections, they could
remain vacant. Too few premium seats would lose potential
revenue for the program.
Frank has decided that if the plan has any chance of
success, unsold premium seats should not be sold at reduced
rates. It would be better to donate them to local
charities instead. Gathering data from his cohorts at peer
institutions, Frank has put together the following probability
distribution of premium ticket holders. The data
begin with 1000 tickets since Frank already has requests
for 999 tickets from alumni donors. He is asking for your
help in performing the analysis.
No. of Premium Tickets Probability
1,000 0.10
5,000 0.30
10,000 0.24
15,000 0.15
20,000 0.10
25,000 0.06
30,000 0.05
a. Using revenue management, determine how many
seats should be reserved for premium ticket holders.
b. Considering your answer to part (a) and the possible outcomes
listed above, how much total revenue (i.e., regular
and premium) can be expected from ticket sales?