In: Statistics and Probability
Read Questions Please. Its different from the others thats been posted!
Information
Six months before its annual convention, the American Medical Association (AMA) must determine how many rooms to reserve. At this time, the AMA can reserve rooms at a cost of $100 per room. The AMA believes the number of doctors attending the convention will be has a triangular distribution with minimum value 2000, maximum value 7000, and most likely value 5000. If the number of people attending the convention exceeds the number of rooms reserved, extra rooms must be reserved at a cost of $ 160 per room. Assume that there are 8000 rooms available.
[Round your answers to the nearest integer. Also just enter the number. For example, if your answer is $123,456, then enter 123456 without $ and comma.]
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Build a simulation model assuming the number of doctors attending the convention follows the following probability distribution.
Number | Probability |
2500 | 0.05 |
3000 | 0.07 |
3500 | 0.09 |
4000 | 0.1 |
4500 | 0.12 |
5000 | 0.2 |
5500 | 0.15 |
6000 | 0.1 |
6500 | 0.06 |
7000 | 0.04 |
7500 | 0.02 |
Run the simulation model 50,000 times.
Question 4 (2 points)
The average number of doctors attending the convention is
Your Answer:
Question 5 (3 points)
The average number of extra rooms needed if they reserve 4000 rooms now is
Your Answer:
Question 6 (3 points)
If they reserve 4000 rooms now, the average number of extra rooms needed is
Your Answer:
Question 7 (3 points)
If they reserve 3000 rooms now, the expected total cost is
Your Answer:
Question 8 (3 points)
If they reserve 6000 rooms now, the expected total cost is
Your Answer:
Hello again, I'm glad you reposted the problem with other parts. I'd humbly suggest to post the entire problem in future, since the subparts are mostly correlated, hence the solution can be easily provided in one go.
One more thing, in my last solution I inadvertently interchanged the "Actual" and "Expected" labelling, which has led to the expected total cost being based on the triangular distribution, instead of the Discrete distribution that has been provided. Pardon me for the same, here I am providing the same solution again with correction. All the formulas are still structured the same, just need to use the correct distribution
Question 4 This is a pretty striaghtforward calculation, obtained using the formula
Actual Attendee Probability Distribution | |||||
Number | Probability | CDF | Percentage | Number | Avg. Doctors |
2500 | 0.05 | 0 | 0% | 2500 | 125 |
3000 | 0.07 | 0.05 | 5% | 3000 | 210 |
3500 | 0.09 | 0.12 | 12% | 3500 | 315 |
4000 | 0.1 | 0.21 | 21% | 4000 | 400 |
4500 | 0.12 | 0.31 | 31% | 4500 | 540 |
5000 | 0.2 | 0.43 | 43% | 5000 | 1000 |
5500 | 0.15 | 0.63 | 63% | 5500 | 825 |
6000 | 0.1 | 0.78 | 78% | 6000 | 600 |
6500 | 0.06 | 0.88 | 88% | 6500 | 390 |
7000 | 0.04 | 0.94 | 94% | 7000 | 280 |
7500 | 0.02 | 0.98 | 98% | 7500 | 150 |
4835 |
Here I am also sharing a snapshot of the average value obtained from the 50,000 simulations, which can be seen at bottom right and is brutally close to the theoretical value. You can also see the amends I've made here.
Question 5, 6 Seems to be some misprint there? Both problems are asking the same thing, perhaps a different number should have been there
Again this is a straightforward computation, done using the formula
Actual Attendee Probability Distribution | |||
Number | Probability | Extra Room (4000 Booked) |
Expected Extra Room Calculation |
2500 | 0.05 | 0 | 0 |
3000 | 0.07 | 0 | 0 |
3500 | 0.09 | 0 | 0 |
4000 | 0.1 | 0 | 0 |
4500 | 0.12 | 500 | 60 |
5000 | 0.2 | 1000 | 200 |
5500 | 0.15 | 1500 | 225 |
6000 | 0.1 | 2000 | 200 |
6500 | 0.06 | 2500 | 150 |
7000 | 0.04 | 3000 | 120 |
7500 | 0.02 | 3500 | 70 |
1025 |
Question 7, 8 Corrections are as under
Based on the excel snapshot shown above, the formulas are
Actual : =VLOOKUP(RAND(),$D$3:$E$13,2,TRUE)
Expected : =VLOOKUP(RAND(),$D$20:$E$5020,2,TRUE)
Actual < 3000? : =IF(G2<=3000,1,0)
Cost : =IF(I2=1,G2*100,300000+160*(G2-3000))
The value hovers mostly from about 594000 to 596000. I'd say the best value to report would be 595000.
For Actual < 6000, we obtain
The value hovers mostly from about 488000 to 491000. Best value to report would be 489500