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Use the Table Below to Answer the Following Question(s) -Calculate the Customer Arrivals at the Metza

question 60

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Use the table below to answer the following question(s) .
Below is a room overbooking model spreadsheet for the Metza, a hotel chain. The hotel has 425 rooms priced at $180 per day each, and is usually fully booked. Reservations can be cancelled any time before 5:00 p.m. with no penalty. The hotel estimates an average overbooking cost of
$150. Customer demand is set at 400 with an average cancellation of 20. AB1 Hotel Overbooking Model  for the Metza group of  hotels 23 Data 45 Rooms Available 4256 Price per room $1807 Overbooking Cost $15089 Model 1011 Reservation Limit 42512 Customer Demand 40013 Reservation Made 14 Cancellations 2015 Customer Arrivals 16 Overbooked Customers \begin{array}{|c|l|l|}\hline &A&B\\\hline1 & \begin{array}{c}\text { Hotel Overbooking Model } \\\text { for the Metza group of } \\\text { hotels }\end{array} & \\\hline 2& & \\\hline 3 & \text { Data } & \\\hline 4 & & \\\hline 5 & \text { Rooms Available } & 425 \\\hline 6 & \text { Price per room } & \$ 180 \\\hline 7 & \text { Overbooking Cost } & \$ 150 \\\hline 8 & & \\\hline 9 & \text { Model } & \\\hline 10 & & \\\hline 11 & \text { Reservation Limit } & 425 \\\hline 12 & \text { Customer Demand } & 400 \\\hline 13 & \text { Reservation Made } & \\\hline 14 & \text { Cancellations } & 20 \\\hline 15 & \text { Customer Arrivals } & \\\hline 16 & \text { Overbooked Customers } & \\\hline\end{array}
-Calculate the customer arrivals at the Metza.


Definitions:

Probability

Probability is a measure of the likelihood that a particular event will occur, expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

Poisson Approximation

A mathematical method for estimating the likelihood of a certain number of occurrences taking place within a set time period.

Uniform Density

A type of distribution in which all outcomes are equally likely within a specified range, characterized by a constant probability density function.

Probability

A measure of the likelihood that a particular event will occur, expressed as a number between 0 and 1.

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