A resort tracks the number of days each guest stays. They've discovered that this variable is normally distributed with a mean of 9 days and a standard deviation of 3. They would expect 10% of the guest stay longer than how many days?
Please show statistics formula and calcuations using normal probability distribution.
There are several types of room in a hotel. The HotelRoom Class of Previous Programming Problem was not specific regarding the type of room. Assume that a hotel has guest rooms and meeting rooms. Modify the HotelRoom class as
A caterer is planning a large party for 231 guest. Each table must seat an equal number of guest , more than 1 guest and fewer than 20. Determine the number of possible table sizes. If the caterers use 11 persons tables, how many
a caterer is planning a large dinner party for 165 guest. each table must get an equal number of guest, more than 1 guest and fewer than 20. Determine the number of possible table sizes. if the caterers use 11- person tables. how
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A caterer is planning a large party for 1001 guest. Each table must seat an equal number of guest , more than 1 guest and fewer than 20. Determine the number of tables if the caterer uses 13 person tables. How many tables will
Length of Hospital Stays: The average length of “short” hospital stays for men is slightly longer thatn that for women: 5.2 days vs. 4.5 days. A random sample of recent hospital stays for both men and women revealed the
The cost of staying at a hotel can be found using the function y = 129x + 9.95, where x is the number of days a guest stays at the hotel and y is the cost in dollars. The cost includes a flat fee for Internet access. If the fee
The manager of a vacation resort has claimed that, on average, a guest spends at least $3000 at the resort during a one week stay, including meals and entertainment. A member of the accounting staff does not believe the amount is
Upon examining its records, a hospital computes the distribution of the number of days a patient stays at the hospital. They find that 50% of patients stayed just one day before leaving. 30% stayed two days, and 10% stayed 3 days.