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MATH 255 - Probability and Statistics Midterm Exam II Solutions
MATH 255 - Probability and Statistics 
Midterm Exam II Solutions 
24 November 2024 
Problem 1. [20pt] The joint pdf of random variables X and Y is given by: 
fX,Y (u, v) = 
 
 
 
8uv u2 + v 
2 ≤ 1, u ≥ 0, v ≥ 0 
0 else 
(a) Find the marginal pdf fX(x). Verify your answer by showing that fX(x) is a valid pdf. 
fX(x) = 
 
 
 
4x(1 − x 
2 
) 0 ≤ x ≤ 1 
0 else 
The marginal pdf of X can be written as: 
fX(x) = Z ∞ 
−∞ 
fX,Y (x, y)dy = 
Z √ 
1−x2 
0 
8xydy = 
8...
- Examen
- • 11 páginas •
MATH 255 - Probability and Statistics 
Midterm Exam II Solutions 
24 November 2024 
Problem 1. [20pt] The joint pdf of random variables X and Y is given by: 
fX,Y (u, v) = 
 
 
 
8uv u2 + v 
2 ≤ 1, u ≥ 0, v ≥ 0 
0 else 
(a) Find the marginal pdf fX(x). Verify your answer by showing that fX(x) is a valid pdf. 
fX(x) = 
 
 
 
4x(1 − x 
2 
) 0 ≤ x ≤ 1 
0 else 
The marginal pdf of X can be written as: 
fX(x) = Z ∞ 
−∞ 
fX,Y (x, y)dy = 
Z √ 
1−x2 
0 
8xydy = 
8...
MATH 255 - Probability and Statistics Solutions to Midterm Exam I
MATH 255 - Probability and Statistics 
Solutions to Midterm Exam I 
Problem 1. [6pt] Suppose A, B, and C are events for a probability experiment such that A and 
B are mutually independent, P(A) = P(B) = P(C) = 0.5, P(A ∩ C) = P(B ∩ C) = 0.3, and 
P(A ∩ B ∩ C) = 0.1. Fill in the probabilities of all events in the Karnaugh map below. Show 
your work. 
Due to mutual independence, we have P(A ∩ B) = 0.25. 
P(A ∩ B ∩ C) = 0.1 
P(Ac ∩ B ∩ C) = 0.2 (+0.5 pt) 
P(A ∩ Bc ∩ C) = 0.2 ...
- Examen
- • 5 páginas •
MATH 255 - Probability and Statistics 
Solutions to Midterm Exam I 
Problem 1. [6pt] Suppose A, B, and C are events for a probability experiment such that A and 
B are mutually independent, P(A) = P(B) = P(C) = 0.5, P(A ∩ C) = P(B ∩ C) = 0.3, and 
P(A ∩ B ∩ C) = 0.1. Fill in the probabilities of all events in the Karnaugh map below. Show 
your work. 
Due to mutual independence, we have P(A ∩ B) = 0.25. 
P(A ∩ B ∩ C) = 0.1 
P(Ac ∩ B ∩ C) = 0.2 (+0.5 pt) 
P(A ∩ Bc ∩ C) = 0.2 ...
Math 255 Probability and Statistics Midterm 1 Solutions
Bilkent University 
Spring 2020-21 
Math 255 Probability and Statistics 
Midterm 1, March 8, 2021 
Solutions 
1. [6 pts] Let A, B, C be three independent events in a probability space (Ω, P) with P(A) = 0.2, 
P(B) = 0.3, and P(C) = 0.4. 
Compute the following probabilities. Each part is 2 pts. 
(a) P((A ∪ B) ∩ C 
c 
) 
(b) P(Bc ∪ C 
c 
| Ac 
) 
(c) P(A ∩ B | B ∩ C) 
Solution. 
(a) The main point of this part is to observe that if A, B, C are independent events then A ∪ B and 
C 
c ...
- Examen
- • 4 páginas •
Bilkent University 
Spring 2020-21 
Math 255 Probability and Statistics 
Midterm 1, March 8, 2021 
Solutions 
1. [6 pts] Let A, B, C be three independent events in a probability space (Ω, P) with P(A) = 0.2, 
P(B) = 0.3, and P(C) = 0.4. 
Compute the following probabilities. Each part is 2 pts. 
(a) P((A ∪ B) ∩ C 
c 
) 
(b) P(Bc ∪ C 
c 
| Ac 
) 
(c) P(A ∩ B | B ∩ C) 
Solution. 
(a) The main point of this part is to observe that if A, B, C are independent events then A ∪ B and 
C 
c ...
MATH 255 Midterm1Solutions.pdf.pdf
Matn 255 
5?““3 2014 -20 
M.‘Jl—&rm 1~ AVSWUS 
All numeric answers must be simplified to a real number or a fraction of two integers 
 
with no common factors. Show your work legibly to maximize partial credit. 
 
Problem 1. [6 pts] Consider a probability space (@, P) and let 4, B,C C Q be three events with P(A)=0.1, P(B) = 0.2, and P(C) = 0.3. (a) Compute P[(AUB)C|B*UC] under the assumption that A, B, C are independent. (b) Assume instead that (i) A, B, and C are pairwise independen...
- Examen
- • 5 páginas •
Matn 255 
5?““3 2014 -20 
M.‘Jl—&rm 1~ AVSWUS 
All numeric answers must be simplified to a real number or a fraction of two integers 
 
with no common factors. Show your work legibly to maximize partial credit. 
 
Problem 1. [6 pts] Consider a probability space (@, P) and let 4, B,C C Q be three events with P(A)=0.1, P(B) = 0.2, and P(C) = 0.3. (a) Compute P[(AUB)C|B*UC] under the assumption that A, B, C are independent. (b) Assume instead that (i) A, B, and C are pairwise independen...
MATH255FINALCOMPLILATION.
DO NOT USE THIS PAGE FOR SOLUTIONS. 
WRITE ONLY YOUR FINAL ANSWERS ON THIS PAGE. 
Problem 1. [10 pts] You roll a fair six-sided die, and then you flip a fair coin the number of times 
shown by the die. Let X denote the number of heads obtained. Find E[X] and var(X). Numerical 
answers are required. Show your work in detail. 
B/X)= 7/4 Va (X) = 77/48 
Problem 2. [10 pts] We obtain an observation 
X=+Z 
of a parameter and wish to estimate using a Bayesian approach. Suppose that is a discrete 
rand...
- Examen
- • 56 páginas •
DO NOT USE THIS PAGE FOR SOLUTIONS. 
WRITE ONLY YOUR FINAL ANSWERS ON THIS PAGE. 
Problem 1. [10 pts] You roll a fair six-sided die, and then you flip a fair coin the number of times 
shown by the die. Let X denote the number of heads obtained. Find E[X] and var(X). Numerical 
answers are required. Show your work in detail. 
B/X)= 7/4 Va (X) = 77/48 
Problem 2. [10 pts] We obtain an observation 
X=+Z 
of a parameter and wish to estimate using a Bayesian approach. Suppose that is a discrete 
rand...
MATH 255 - Probability and Statistics Final Exam Solutions
MATH 255 - Probability and Statistics 
Final Exam Solutions 
Problem 1. [8pt] Let X1, X2, . . . be independent random variables that are uniformly distributed over [0, 1]. Show that the sequence of Y1, Y2, . . . converges with probability 1 to some 
limit and identify the limit, for the case where Yn is the sampled geometric mean, given by 
Yn = 
 Yn 
i=1 
Xi 
!1/n 
Solution: 
limn→∞ Yn 
i=1 
Xi 
!1/n 
= limn→∞ 
exp 
 
log Yn 
i=1 
Xi 
!1/n 
 
= limn→∞ 
exp 
1 
n 
log Yn ...
- Examen
- • 4 páginas •
MATH 255 - Probability and Statistics 
Final Exam Solutions 
Problem 1. [8pt] Let X1, X2, . . . be independent random variables that are uniformly distributed over [0, 1]. Show that the sequence of Y1, Y2, . . . converges with probability 1 to some 
limit and identify the limit, for the case where Yn is the sampled geometric mean, given by 
Yn = 
 Yn 
i=1 
Xi 
!1/n 
Solution: 
limn→∞ Yn 
i=1 
Xi 
!1/n 
= limn→∞ 
exp 
 
log Yn 
i=1 
Xi 
!1/n 
 
= limn→∞ 
exp 
1 
n 
log Yn ...
MATH 255 - Probability and Statistics Final Exam Solutions
MATH 255 - Probability and Statistics 
Final Exam Solutions 
Problem 1) Let 
fX|Θ(x|θ) = ( 
θe−θx if x ≥ 0 
0 if x < 0 
and fΘ(θ) = ( 
αe−αθ if θ ≥ 0 
0 if θ < 0 
Find the MAP and LMS estimates of θ for a single observation X = x. 
Hint: For exponential random variables, we have R ∞ 
0 
λe−λxdx = 1 and R ∞ 
0 
x 
2λe−λxdx = 
2 
λ2 . 
We can first find the posterior distribution (2pt): 
fΘ|X(θ|x) = 
fX|Θ(x|θ)fΘ(θ) 
fX(x) 
= 
αθe−(α+x)θ 
R ∞ 
0 ...
- Examen
- • 5 páginas •
MATH 255 - Probability and Statistics 
Final Exam Solutions 
Problem 1) Let 
fX|Θ(x|θ) = ( 
θe−θx if x ≥ 0 
0 if x < 0 
and fΘ(θ) = ( 
αe−αθ if θ ≥ 0 
0 if θ < 0 
Find the MAP and LMS estimates of θ for a single observation X = x. 
Hint: For exponential random variables, we have R ∞ 
0 
λe−λxdx = 1 and R ∞ 
0 
x 
2λe−λxdx = 
2 
λ2 . 
We can first find the posterior distribution (2pt): 
fΘ|X(θ|x) = 
fX|Θ(x|θ)fΘ(θ) 
fX(x) 
= 
αθe−(α+x)θ 
R ∞ 
0 ...
MATH 255 - Probability and Statistics Midterm Exam II Solutions
MATH 255 - Probability and Statistics 
Midterm Exam II Solutions 
Problem 1) Suppose that X and Y have the joint PDF: 
fX,Y (x, y) = ( 
e 
−x 
if 0 ≤ y ≤ x 
0 o.w. 
Find the marginal PDF of X and the conditional PDF of Y given X. 
(a) The marginal PDF of X is given by 
fX(x) = Z ∞ 
−∞ 
fX,Y (x, y)dy 
= 
( R x 
0 
e 
−xdy x ≥ 0 
0 o.w. 
= 
( 
xe−x x ≥ 0 
0 o.w. 
(b) The conditional PDF of Y given X is undefined if x ≤ 0 . For x > 0, it can be written as 
fY |X(y|x) = ( 
e...
- Examen
- • 5 páginas •
MATH 255 - Probability and Statistics 
Midterm Exam II Solutions 
Problem 1) Suppose that X and Y have the joint PDF: 
fX,Y (x, y) = ( 
e 
−x 
if 0 ≤ y ≤ x 
0 o.w. 
Find the marginal PDF of X and the conditional PDF of Y given X. 
(a) The marginal PDF of X is given by 
fX(x) = Z ∞ 
−∞ 
fX,Y (x, y)dy 
= 
( R x 
0 
e 
−xdy x ≥ 0 
0 o.w. 
= 
( 
xe−x x ≥ 0 
0 o.w. 
(b) The conditional PDF of Y given X is undefined if x ≤ 0 . For x > 0, it can be written as 
fY |X(y|x) = ( 
e...
MATH 255 - Probability and Statistics Solutions to Midterm Exam II
MATH 255 - Probability and Statistics 
Solutions to Midterm Exam II 
Problem 1. [10pt] A stick is broken into three pieces by picking two points independently and 
uniformly along the stick, and breaking the stick at those two points. What is the probability 
that the three pieces can be assembled into a triangle? 
Solution: Consider the case where x > y without loss of generality. Then, the segments have 
lengths: y, x − y, and 1 − x. To form a triangle, they must satisfy the triangle in...
- Examen
- • 3 páginas •
MATH 255 - Probability and Statistics 
Solutions to Midterm Exam II 
Problem 1. [10pt] A stick is broken into three pieces by picking two points independently and 
uniformly along the stick, and breaking the stick at those two points. What is the probability 
that the three pieces can be assembled into a triangle? 
Solution: Consider the case where x > y without loss of generality. Then, the segments have 
lengths: y, x − y, and 1 − x. To form a triangle, they must satisfy the triangle in...
MATH-225 Final Exam — 20.05.2021 — 13:00–16:00
MATH-225 Final Exam — 20.05.2021 — 13:00–16:00 
N.B. Correct answers without sufficient correct mathematical explanations will not get full credit. 
Q 1: Let A be an n×n matrix, λ1 an eigenvalue of A, and let In denote the identity matrix of size n×n. Recall 
that the multiplicity of λ1 is the largest integer k such that (λ − λ1) 
k 
is a factor of the characteristic polynomial 
|λIn − A|. 
(a) (5 pts) Show by an example that the dimension of Null(λ1In − A) can be different f...
- Examen
- • 1 páginas •
MATH-225 Final Exam — 20.05.2021 — 13:00–16:00 
N.B. Correct answers without sufficient correct mathematical explanations will not get full credit. 
Q 1: Let A be an n×n matrix, λ1 an eigenvalue of A, and let In denote the identity matrix of size n×n. Recall 
that the multiplicity of λ1 is the largest integer k such that (λ − λ1) 
k 
is a factor of the characteristic polynomial 
|λIn − A|. 
(a) (5 pts) Show by an example that the dimension of Null(λ1In − A) can be different f...
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