Week 1 Homework_ Simulation - ISYE-6644-OAN_O01_Q_ASY
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Week 1 Homework: Simulation - ISYE-6644-OAN/O01/Q/ASY
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1/9
Week 1 Homework Due Jan 19 at 11:59pm
Points 12
Questions 12
Available Jan 12 at 8am - Jan 22 at 11:59pm
Time Limit None
Instructions
This quiz was locked Jan 22 at 11:59pm.
Attempt History
Attempt
Time
Score
LATEST
Attempt 1
96 minutes
12 out of 12
Score for this quiz: 12 out of 12
Submitted Jan 15 at 9:53am
This attempt took 96 minutes.
Question 1
1 / 1 pts
a. -11.625 sec
b. 2 sec
Correct!
c. 5.375 sec
Set
and solve for t. Quadratics are easy:
Please answer all the questions below.
(Lesson 1.3: Deterministic Model.) Suppose you throw a rock off a cliff having height = 1000 feet.
You're a strong bloke, so the initial downward velocity is = -100 feet/sec (slightly under 70 miles/hr).
Further, in this neck of the woods, it turns out there is no friction in the atmosphere - amazing! Now you
remember from your Baby Physics class that the height after time is
When does the rock hit the ground?
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which we take as the answer since the negative answer doesn't make practical sense.
d. 11.625 sec
e. 10 sec
Set
and solve for t. Quadratics are easy:
which we take as the answer since the negative answer doesn't make practical sense.
Question 2
1 / 1 pts
a. 1
b. 2/3
c. 0.397
Correct!
d. 0.603
At time , we have
(Lesson 1.3: Stochastic Model.) Consider a single-server queueing system where the times between
customer arrivals are independent, identically distributed Exp(λ = 2/hr) random variables; and the service
times are i.i.d. Exp(µ = 3/hr). Unfortunately, if a potential arriving customer sees that the server is
occupied, he gets mad and leaves the system. Thus, the system can have either 0 or 1 customer in it at
any time. This is what’s known as an M/M/1/1 queue. If denotes the probability that a customer is
being served at time t, trust me that it can be shown that
If the system is empty at time 0, i.e., , what is the probability that there will be no people in the
system at time 1 hr?
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Week 1 Homework: Simulation - ISYE-6644-OAN/O01/Q/ASY
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At time , we have
Question 3
1 / 1 pts
Correct!
a. Merton Miller and William Sharpe
for accomplishments in related (but slightly different) subject areas.
b. Henry Kissinger
c. Albert Einstein
d. Subrahmanyan Chandrasekhar
for accomplishments in related (but slightly different) subject areas.
Question 4
1 / 1 pts
a. We put $5000 into a savings account paying 2% continuously compounded interest per year, and we are interested
in determining the account's value in 5 years.
(Lesson 1.4: History.) Harry Markowitz (one of the big wheels in simulation language development) won
his Nobel Prize for portfolio theory in 1990, though the work that earned him the award was conducted
much earlier in the 1950s. Who won the 1990 Prize with him? You are allowed to look this one up.
(Lesson 1.5: Applications.) Which of the following situations might be good candidates to use simulation?
(There may be more than one correct answer.)
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Correct!
b. We are interested in investing one half of our portfolio in fixed-interest U.S. bonds and the remaining half in a stock
market equity index. We have some information concerning the distribution of stock market returns, but we do not really
know what will happen in the market with certainty.
Correct!
c. We have a new strategy for baseball batting orders, and we would like to know if this strategy beats other commonly
used batting orders (e.g., a fast guy bats first, a big, strong guy bats fourth, etc.). We have information on the
performance of the various team members, but there’s a lot of randomness in baseball.
d. We have an assembly station in which “customers” (for instance, parts to be manufactured) arrive every 5 minutes
exactly and are processed in precisely 4 minutes by a single server. We would like to know how many parts the server
can produce in a hour.
Correct!
e. Consider an assembly station in which parts arrive randomly, with independent exponential interarrival times. There
is a single server who can process the parts in a random amount of time that is normally distributed. Moreover, the
server takes random breaks every once in a while. We would like to know how big any line is likely to get.
Correct!
f. Suppose we are interested in determining the number of doctors needed on Friday night at a local emergency room.
We need to insure that 90% of patients get treatment within one hour.
(a) and (d) do not require simulation, since we can easily “solve” those models with a simple equation or
two. (b), (c), (e), and (f) will likely require simulation.
Question 5
1 / 1 pts
a. 1/(49 · 50)
Correct!
b. 1/50
b. Let’s call the two guys A and B. Whatever A’s birthday is, the probability that B matches it is 1/50.
Let’s try it another way. The total number of ways that two people can have birthdays is 50 × 50 = 2500.
The total number of ways that they can have two different
birthdays is 50 × 49 = 2450. Thus,
(Lessons 1.6 and 1.7: Baby Examples.) The planet Glubnor has 50-day years.
Suppose there are 2 Glubnorians in the room. What’s the probability that they’ll have the same birthday?
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c. 1/25
d. 2/49
Let’s call the two guys A and B. Whatever A’s birthday is, the probability that B matches it is 1/50.
Let’s try it another way. The total number of ways that two people can have birthdays is 50 × 50 = 2500.
The total number of ways that they can have two different
birthdays is 50 × 49 = 2450. Thus,
Question 6
1 / 1 pts
a. 1/50
b. 2/50
c. 1/(49 · 50)
Correct!
d. 0.0592
d. I admit that this involves a teensy bit of probability (that you will eventually review in Module 2), but it
should be easy enough. Mimicking the previous question, we have
d. I admit that this involves a teensy bit of probability (that you will eventually review in Module 2), but it
should be easy enough. Mimicking the previous question, we have
Question 7
1 / 1 pts
(Lessons 1.6 and 1.7: Baby Examples.) The planet Glubnor has 50-day years.
Now suppose there are 3 Glubnorians in the room. (They’re big, so the room is getting crowded.) What’s
the probability that at least two of them have the same birthday?
(Lessons 1.6 and 1.7: Baby Examples.) Inscribe a circle in a unit square and toss random
darts at the square.
Suppose that 380 of those darts land in the circle. Using the technology developed in this lesson, what is
the resulting estimate for ?
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a. −3.14
b. 2.82
Correct!
c. 3.04
(c), since the estimate × (proportion in circle).
d. 3.14
e. 3.82
(c), since the estimate × (proportion in circle).
Question 8
1 / 1 pts
Correct!
a. by the Law of Large Numbers.
b. c. 3.04
d. 3.14
e. (a), by the Law of Large Numbers.
Question 9
1 / 1 pts
a. 18
b. 25
Correct!
c. 33
(Lessons 1.6 and 1.7: Baby Examples.) Again inscribe a circle in a unit square and toss random darts
at the square.
What would our estimate be if we let and we applied the same ratio strategy to estimate ?
(Lessons 1.6 and 1.7: Baby Examples.) Suppose customers arrive at a single-server ice cream parlor
times 3, 6, 15, and 17. Further suppose that it takes the server 7, 9, 6, and 8 minutes, respectively, to
serve the four customers. When does customer 4 leave the shoppe?
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Here is the sequence of relevant events
d. 45
(c). Here is the sequence of relevant events
Question 10
1 / 1 pts
a. 0
b. 1/8
Correct!
c. 7/8
We have
d. 3
(Lesson 1.8: Generating Randomness.) Suppose we are using the (awful) pseudo-random number
generator
with starting value ("seed") . Find the second PRN,
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We have
and the answer is (c).
Question 11
1 / 1 pts
a. 352515241
b. 16808
Correct!
c. 1335380034
This is actually not quite so easy as it may seem, since you have to be a little careful not to lose
significant digits. We'll learn more about this in Module 6. In any case,
where I multiplied the big numbers and took the mod with the help of Excel.
d. 12345679
This is actually not quite so easy as it may seem, since you have to be a little careful not to lose
significant digits. We'll learn more about this in Module 6. In any case,
where I multiplied the big numbers and took the mod with the help of Excel.
Question 12
1 / 1 pts
a. -6.17
Correct!
(Lesson 1.8: Generating Randomness.) Suppose we are using the "decent" pseudo-random number
generator
with seed = 12345678. Find the resulting integer . Feel free to use something like Excel if you
need to.
(Lesson 1.8: Generating Randomness.) Suppose that we generate a pseudo-random number =
0.128. Use this to generate an Exponential random variate.
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b. 6.17
From the lesson notes, we have
So the answer is (b).Note: It turns out that
would also have been an acceptable answer. Can you see why?
c. -0.685
d. 0.685
From the lesson notes, we have
So the answer is (b).Note: It turns out that
would also have been an acceptable answer. Can you see why?
Quiz Score: 12 out of 12
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The 92 million Americans of age 50 and over control 50 percent of all discretionary income. AARP estimates that the average annual expenditure on restaurants and carryout
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The intensity L(x) of light x feet beneath the surface of the ocean satisfies the differential equation-=-kL. From experience, a diver knows that diving to 16 ft in a sea
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1.8 0.3 =
d. 2.4 + 1.2 = ?
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- Mathematics For Machine TechnologyAdvanced MathISBN:9781337798310Author:Peterson, John.Publisher:Cengage Learning,

Mathematics For Machine Technology
Advanced Math
ISBN:9781337798310
Author:Peterson, John.
Publisher:Cengage Learning,