Continuous Random Variables - Probability Theory - Exam, Exams of Probability and Statistics

This is the Past Exam of Probability Theory which includes Geometric, Same Number, Precisely, Fraction, Squares, Length Longer, Compute, Continuous Random Variables etc. Key important points are: Continuous Random Variables, Limits of Integration, Marginal Density, Exponentially Distributed, Lightbulb, Probability, Climber, Safety Awaits, Advancing Upwards, Slides Back

Typology: Exams

2012/2013

Uploaded on 02/27/2013

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AMS 311 Joe Mitchell
PROBABILITY THEORY: Practice Exam 3
Statistics: n= 30, µ= 64.1, median 68.5, σ= 22.9; score range: 23–99
1. (19 points) Let Xand Ybe continuous random variables with joint probability density function given by
f(x, y) = n2x+ 2yif 0 < x and x < y < 1
0 otherwise
Compute the following quantities; you may leave any integrals unevaluated, BUT you must write them completely,
with proper limits of integration, dx”, dy”, etc.
(a). (6 points) The marginal density, fY(y), of Y. (Be explicit about all cases.)
(b). (7 points) P(X > 0.1|Y= 0.5)
(c). (6 points) E(X|Y= 0.5)
2. (15 points) Let Ybe the lifetime, in minutes, of a lightbulb. Assume that the lightbulb has an expected lifetime
of 2 hours and that Yis exponentially distributed. At 5:00pm, the lightbulb is installed and left on. At a random
time during the lifetime of the bulb, Joe enters the room.
(a). (7 points) What time do you expect Joe will enter the room?
(b). (8 points) Find the probability that Joe enters the room after 6:40pm.
3. (16 points) An ice climber is standing on a steep slope of ice/snow, just 1 foot above a cliff. She is 3 feet below
the summit, where safety awaits her. Each time she tries to take one step upward, toward the summit, she makes
it successfully, advancing upwards by 1 foot, 30% of the time; unfortunately, 70% of the time she slides back 1 foot
behind where she started. (So, if she slides back on her first attempt to go up, she in fact falls off the cliff !) Each
step that she takes requires an amount of time, uniformly distributed between 2 minutes and 3 minutes.
For each of the following quantities, show exactly how you would compute it. Define precisely any quantities you
use!. You need not solve systems of equations, but you must be very explicit about exactly how you would obtain
the final numerical answer.
(a). (8 points) The probability that she makes it to the summit.
(b). (8 p oints) The expected number of steps she takes before she is done (she either reaches the summit and
heads home, or she falls off the cliff and never climbs again).
4. (5 points) You expect 25 p eople to show up for your party Friday night. You posted an open invitation to all of
your numerous friends to come, so now are worried that too many will show up for your small apartment to hold. If
your apartment can hold 60 people, what can you say about the probability, p, that you have to turn away people
that show up for your party?
5. (15 points) We want to find (at least approximately) the probability, p, that the average of 150 random points
independently drawn from the interval (0,1) is within 0.02 of the midpoint of the interval. Give a Central Limit
Theorem estimate for the probability p.Show your work! (Define any random variables you use!)
6. (15 points) You purchase 100 batteries for your millenium flashlight, in case the power goes out on January
1. Each battery (independently) lasts for an exponentially distributed length of time, with mean 12 hours. Your
flashlight uses only a single battery. You want to estimate the probability pthat you have enough batteries to keep
your flashlight on for more than the first 60 days of the year 2000. Obtain the best upper bound you can for p(i.e.,
find a number α, as small as possible, so that you can guarantee that pα).
Show your work! (Define any random variables you use!)
7. (15 points) Joe is a stamp collector, and his goal is to obtain as many of the 89 types of stamps that were produced
in the USA this year as possible. Suppose that each postage stamp is equally likely on an envelope, and Jo e obtains
a bag of 200 envelopes that people were throwing away. (Assume that each envelope has exactly one stamp on it.)
Joe sorts through the bag; each time he encounters a stamp that he does not already have, he places it into his stamp
album (which has one slot for each of the 89 different types).
What is the expected number of empty slots in Joe’s stamp album after he has sorted through the entire bag of
envelopes?
(You must show your work in order to obtain full credit. Define precisely any random variables you use.)
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PROBABILITY THEORY: Practice Exam 3

Statistics: n = 30, μ = 64.1, median 68.5, σ = 22.9; score range: 23–

  1. (19 points) Let X and Y be continuous random variables with joint probability density function given by

f (x, y) =

2 x + 2y if 0 < x and x < y < 1 0 otherwise

Compute the following quantities; you may leave any integrals unevaluated, BUT you must write them completely, with proper limits of integration, “dx”, “dy”, etc. (a). (6 points) The marginal density, fY (y), of Y. (Be explicit about all cases.) (b). (7 points) P (X > 0. 1 | Y = 0.5) (c). (6 points) E(X | Y = 0.5)

  1. (15 points) Let Y be the lifetime, in minutes, of a lightbulb. Assume that the lightbulb has an expected lifetime of 2 hours and that Y is exponentially distributed. At 5:00pm, the lightbulb is installed and left on. At a random time during the lifetime of the bulb, Joe enters the room. (a). (7 points) What time do you expect Joe will enter the room? (b). (8 points) Find the probability that Joe enters the room after 6:40pm.
  2. (16 points) An ice climber is standing on a steep slope of ice/snow, just 1 foot above a cliff. She is 3 feet below the summit, where safety awaits her. Each time she tries to take one step upward, toward the summit, she makes it successfully, advancing upwards by 1 foot, 30% of the time; unfortunately, 70% of the time she slides back 1 foot behind where she started. (So, if she slides back on her first attempt to go up, she in fact falls off the cliff!) Each step that she takes requires an amount of time, uniformly distributed between 2 minutes and 3 minutes. For each of the following quantities, show exactly how you would compute it. Define precisely any quantities you use!. You need not solve systems of equations, but you must be very explicit about exactly how you would obtain the final numerical answer. (a). (8 points) The probability that she makes it to the summit. (b). (8 points) The expected number of steps she takes before she is done (she either reaches the summit and heads home, or she falls off the cliff and never climbs again).
  3. (5 points) You expect 25 people to show up for your party Friday night. You posted an open invitation to all of your numerous friends to come, so now are worried that too many will show up for your small apartment to hold. If your apartment can hold 60 people, what can you say about the probability, p, that you have to turn away people that show up for your party?
  4. (15 points) We want to find (at least approximately) the probability, p, that the average of 150 random points independently drawn from the interval (0,1) is within 0.02 of the midpoint of the interval. Give a Central Limit Theorem estimate for the probability p. Show your work! (Define any random variables you use!)
  5. (15 points) You purchase 100 batteries for your millenium flashlight, in case the power goes out on January
  6. Each battery (independently) lasts for an exponentially distributed length of time, with mean 12 hours. Your flashlight uses only a single battery. You want to estimate the probability p that you have enough batteries to keep your flashlight on for more than the first 60 days of the year 2000. Obtain the best upper bound you can for p (i.e., find a number α, as small as possible, so that you can guarantee that p ≤ α). Show your work! (Define any random variables you use!)
  7. (15 points) Joe is a stamp collector, and his goal is to obtain as many of the 89 types of stamps that were produced in the USA this year as possible. Suppose that each postage stamp is equally likely on an envelope, and Joe obtains a bag of 200 envelopes that people were throwing away. (Assume that each envelope has exactly one stamp on it.) Joe sorts through the bag; each time he encounters a stamp that he does not already have, he places it into his stamp album (which has one slot for each of the 89 different types). What is the expected number of empty slots in Joe’s stamp album after he has sorted through the entire bag of envelopes? (You must show your work in order to obtain full credit. Define precisely any random variables you use.)

PROBABILITY THEORY: Another Practice Exam 3

Statistics: n = 43, μ = 56, median 61, σ = 30.4; score range: 1–

  1. (19 points) Let X and Y be continuous random variables with joint probability density function given by

f (x, y) =

e−x(y+1)^ if x ≥ 0, 0 ≤ y ≤ e − 1 0 otherwise

(Here, e = 2. 718 ... is the usual base of the natural logarithm.) Compute the following quantities; you may leave any integrals unevaluated, BUT you must write them completely, with proper limits of integration, “dx”, “dy”, etc. (a). P (X > 1 | Y = 12 ) (b). P (Y = 12 | X > 1) (c). E(X | Y = 12 )

  1. (15 points) Leon leaves his office every day at a random time between 5:00pm and 6:00pm. If he leaves t minutes past 5:00, the time it takes him to reach home is a random number of minutes between 20 and 20 + (2t)/3. Let Y be the number of minutes past 5:00 that Leon leaves his office tomorrow, and let X be the number of minutes it takes him to reach home. (a). (7 points) What is the expected length of time it takes him to reach home? (b). (8 points) Find the joint probability density function of X and Y. (Reminder: Be explicit about all cases!)
  2. (16 points) A gambler has $3 in his pocket when he walks into a casino. He plays a game in which the probability he gains $1 is 1/3, the probability that he gains $2 is 1/6, and the probability that he loses $1 is 1/2. He decides ahead of time that he will stop playing as soon as he has enough money to buy a $5 toy for his daughter. Of course, he also must stop playing if he goes broke! For each of the following quantities, show exactly how you would compute it. Define precisely any quantities you use!. You need not solve systems of equations, but you must be very explicit about exactly how you would obtain the final numerical answer. (a). (8 points) The probability that he goes broke. (b). (8 points) The expected number of games he plays before he leaves the casino.
  3. (5 points) You are told that the mean of a random variable X is 1, that cov(X 2 , X^2 ) = 7, and that E(X^4 ) = 16. What is the variance of X?
  4. (15 points) Suppose the weight of a certain brand of bolt has a mean of 1 gram (for a single bolt). Let X denote the weight (in grams) of a batch of 100 bolts. (a). (5 points) Estimate the probability, p, that the batch of 100 bolts weighs more than 102 grams. (What inequality are you using?) (b). (5 points) Assume now that you are told that the standard deviation of the weight of a single bolt is 0. grams. Now give an improved estimate of p (using an inequality). (c). (5 points) Give a Central Limit Theorem estimate for p.
  5. (15 points) You roll a pair of (fair) dice repeatedly and note the sum of the two values shown on each roll. Let W denote the number of rolls until the 30th^ occurrence of a (sum of) 7. (If the 30th^ 7 occurs on the roll number 45, then W = 45.) (a). (5 points) What is E(W )? (b). (10 points) Using the Central Limit Theorem, approximate P (W > 210).
  6. (15 points) There are 47 probability students in this class. What is the expected number of birthdays (e.g., “May 23” (ignore the year)) that belong only to one student? Assume that birth rates are constant throughout the year and that each year has 365 days. (Remember to show your work and to define any random variables you use!)