Fraction - 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: Fraction, Squares, Length Longer, Compute, Careful, Exponentially Distributed, Probability, Alternative Expression, Approximation, Manufactured

Typology: Exams

2012/2013

Uploaded on 02/27/2013

davdas900
davdas900 🇮🇳

4.6

(5)

110 documents

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
AMS 311 Joe Mitchell
PROBABILITY THEORY: Practice Exam 2
1. (25 points) Let Xdenote the length (in meters) of one side of a square sheet of plywood. Assume that the density
function of Xis given by
f(x) = (xif 0 x < 1
1/2 if 1 < x < 2;
0 otherwise.
(a). (5 points) On average, what fraction of squares of plywood have side length longer than 75cm?
(b). (6 points) Let Adenote the area (in square meters) of the sheet of plywood. Compute var (A).
(c). (14 points) Let Y= 5X. Compute the cdf, FY(y), of Y. Be very explicit! You must show the value of
FY(y) for all values of y; be careful about all cases. (You may find it helpful to sketch a plot of FY(y), but it is not
required.)
2. (15 points) Let Xdenote the lifetime of a radio, in years, manufactured by a certain company. Assume that the
lifetime is exponentially distributed, with a mean of 5 years.
(a). (5 points) What is the probability pthat a radio lasts more than 15 years?
(b). (5 points) What is the (exact) probability that, of 1000 such radios that you purchase, at least four of them
last more than 15 years? (You can leave your expression with a p in it, where pis the answer from part (a); you
do not need to evaluate it.)
(c). (5 points) Give an alternative expression that approximates your answer to part (b). Justify your answer:
What distribution are you using to obtain the approximation?
3. (10 points) The length of an aluminum-coated steel sheet manufactured by a certain factory is approximately
normal with mean 75 centimeters and standard deviation 2 centimeters. Find the probability that a randomly
selected sheet manufactured by this factory is between 74.2 and 75.6 centimeters.
4. (20 points) Let Xand Yhave joint density
f(x, y) = ½4/9 if 0 x, and xy3x;
0,otherwise.
(a). (7 points) Compute the marginal density of X(be explicit about all cases!).
(b). (6 points) Compute P(Y > 2X).
(c). (4 points) Compute E(XY ).
(d). (3 points) Are Xand Yindependent? (Justify your answer!)
5. (15 points) Let Xand Ybe the (indpendent) measurements of the amount of rainfall, in inches, on Long Island
on Friday the 13th, 1998. Suppose the probability density function of each measurement is given by
f(x) = n2xif 0 < x < 1
0 otherwise.
(a). Give the joint density, f(x, y) of Xand Yand sketch the support set.
(b). What is the probability that one measurement is at least twice as much as the other? (either Xis at least
twice as much as Yor Yis at least twice as much as X) (Show your work!)
6. (15 points) Suppose that Xand Yhave joint mass function as shown in the table below.
-2 0 1 3.1
-2 .1 .2 0 0
1 .1 0 .4 0
3 0 .1 0 .1
(a). (5 points) Compute P(X2> Y ).
(b). (5 points) Find the marginal mass function of Xand plot it. (be very explicit!)
(c). (5 points) Compute var(X2)
pf3

Partial preview of the text

Download Fraction - Probability Theory - Exam and more Exams Probability and Statistics in PDF only on Docsity!

PROBABILITY THEORY: Practice Exam 2

  1. (25 points) Let X denote the length (in meters) of one side of a square sheet of plywood. Assume that the density function of X is given by

f (x) =

x if 0 ≤ x < 1 1 / 2 if 1 < x < 2; 0 otherwise. (a). (5 points) On average, what fraction of squares of plywood have side length longer than 75cm? (b). (6 points) Let A denote the area (in square meters) of the sheet of plywood. Compute var(A). (c). (14 points) Let Y = 5X. Compute the cdf, FY (y), of Y. Be very explicit! You must show the value of FY (y) for all values of y; be careful about all cases. (You may find it helpful to sketch a plot of FY (y), but it is not required.)

  1. (15 points) Let X denote the lifetime of a radio, in years, manufactured by a certain company. Assume that the lifetime is exponentially distributed, with a mean of 5 years. (a). (5 points) What is the probability p that a radio lasts more than 15 years? (b). (5 points) What is the (exact) probability that, of 1000 such radios that you purchase, at least four of them last more than 15 years? (You can leave your expression with a “p” in it, where p is the answer from part (a); you do not need to evaluate it.) (c). (5 points) Give an alternative expression that approximates your answer to part (b). Justify your answer: What distribution are you using to obtain the approximation?
  2. (10 points) The length of an aluminum-coated steel sheet manufactured by a certain factory is approximately normal with mean 75 centimeters and standard deviation 2 centimeters. Find the probability that a randomly selected sheet manufactured by this factory is between 74.2 and 75.6 centimeters.
  3. (20 points) Let X and Y have joint density

f (x, y) =

4 / 9 if 0 ≤ x, and x ≤ y ≤ 3 − x; 0 , otherwise.

(a). (7 points) Compute the marginal density of X (be explicit about all cases!). (b). (6 points) Compute P (Y > 2 X). (c). (4 points) Compute E(XY ). (d). (3 points) Are X and Y independent? (Justify your answer!)

  1. (15 points) Let X and Y be the (indpendent) measurements of the amount of rainfall, in inches, on Long Island on Friday the 13th, 1998. Suppose the probability density function of each measurement is given by

f (x) =

2 x if 0 < x < 1 0 otherwise. (a). Give the joint density, f (x, y) of X and Y and sketch the support set. (b). What is the probability that one measurement is at least twice as much as the other? (either X is at least twice as much as Y or Y is at least twice as much as X) (Show your work!)

  1. (15 points) Suppose that X and Y have joint mass function as shown in the table below.

-2 0 1 3. -2 .1 .2 0 0 1 .1 0 .4 0 3 0 .1 0.

(a). (5 points) Compute P (X^2 > Y ). (b). (5 points) Find the marginal mass function of X and plot it. (be very explicit!) (c). (5 points) Compute var(X^2 )

PROBABILITY THEORY: Another Practice Exam 2

  1. (27 points) Let X denote the lifetime (in hours) of a light bulb, and assume that the density function of X is given by

f (x) =

2 x if 0 ≤ x < 1 / 2 3 / 4 if 2 < x < 3; 0 otherwise. (a). (7 points) Compute var(X^2 + 1). (b). (6 points) On average, what fraction of light bulbs last more than 15 minutes? (c). (14 points) Let Y = 3X. Compute the cdf, FY (y), of Y. Be very explicit! You must show the value of FY (y) for all values of y; be careful about all cases. Sketch a plot of FY (y).

  1. (13 points) Let X denote the lifetime of a radio, in years, manufactured by a certain company. The density function of X is given by

f (x) =

1 15 e

−x/ (^15) if 0 ≤ x < ∞ 0 otherwise. (a). (3 points) What is the mean lifetime of a radio? (b). (5 points) What is the probability that a radio lasts more than 12 months? (c). (5 points) What is the probability that, of eight such radios, at least four last more than 12 months?

  1. (10 points) The amount, X, of cereal in a box is normally distributed, with mean 16.5 ounces, and standard deviation σ. If the packager is required to fill at least 90% of the cereal boxes with 16 or more ounces of cereal, what is the largest value of σ, the standard deviation? (Show your work!)
  2. (20 points) Let X and Y have joint density

f (x, y) =

2 if 0 ≤ x, and 0 ≤ y ≤ 1 − x; 0 , otherwise.

(a). (7 points) Compute the marginal density of X (be explicit about all cases!). (b). (6 points) Compute P (Y > X). (c). (4 points) Compute E(XY ). (d). (3 points) Are X and Y independent? (Justify your answer!)

  1. (15 points) Stores A and B, which belong to the same owner, are located in two different towns. If the probability density function of the weekly profit of each store, in thousands of dollars, is given by

f (x) =

{ (^) x 4 if 1^ < x <^3 0 otherwise,

and the profit of one store is independent of the other, what is the probability that store A makes at least $500 more than store B next week? (Show your work! Define precisely any random variables you use.)

  1. (15 points) Suppose that X and Y have joint mass function as shown in the table below.

-2 0 1 3. 1 .1 .2 0 0 4 .1 0 .4 0 9 0 .1 0.

(a). (5 points) Compute P (Y 2 > X). (b). (5 points) Find the marginal mass function of Y. (be explicit!) (b). (5 points) Compute var(Y 2 )