EE126 Midterm #1, Fall 2000: Probability Theory, Exams of Probability and Statistics

The fall 2000 midterm #1 exam for the ee126 probability theory course at the university of california, berkeley. The exam includes six problems covering topics such as conditional probability, binomial distribution, and the occurrence of events. Students are expected to use given information to find probabilities and make calculations.

Typology: Exams

2012/2013

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EE126, Fall 2000
Midterm #1
Professor Chang-Hasnain
Problem #1 (20 pts)
Given P[A|B] = a
&nbsp &nbspP[B] = b
&nbsp &nbspP[(B^c)|(A^c)] = e
Express P[B|A] in terms of a, b, e.
Problem #2 (20 pts)
A telephone transmission system typically consists of an equipment called a multiplexer, which is capable of
multiplexing M active phone lines at a given time. Consider an active phone line transmits 1 packet per fixed
time period T, and an inactive phone line, 0 packet per T.
Consider an apartment complex with 48 phone lines; the probability of each line transmitting signal is p, and
not transmitting signal is 1-p, where p = 1/3. Let X be the number of packets transmitted per T, and X is a
binomial random variable.
(Hint: P[X=k] = {n!/[(n-k)!k!]}*( p^k)*[(1-p)^(n-k)])
(a) (6 pts) Write down the expressions of the pdf and cdf of X
(b) (7 pts) What is P[X>24] ? Express this in formula; you don't need to provide numeric value.
(c) (7 pts) If this apartment decides to use an M-line multiplexer for its transmission system and M
(Hint: fraction of lost packes = number of discarded packets/total number of packets produced)
Problem #3 (20 pts)
A biased coin is tossed. What is the probability that you have to flip it exactly 8 times to see exactly 3 heads?
P(Heads)=0.6.
Problem #4 (20 pts)
There are 5 accidents/month on a highway. Accidents on this highway are distributed as a Poisson random
variable. Find the probability there will be no accidents in a given year.
Problem #5 (20 pts)
Tom and Paul roll (2) dice alternatively starting with Tom. Consider they use two fair 6-faced dice. The
player who rolls 6 first wins. They continue to roll until one of them wins. Find the probability that Tom
wins.
EE126, Midterm #1, Fall 2000
EE126, Fall 2000Midterm #1 Professor Chang-Hasnain 1
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EE126, Fall 2000

Midterm

Professor Chang-Hasnain

Problem #1 (20 pts)

Given P[A|B] = a &nbsp &nbspP[B] = b &nbsp &nbspP[(B^c)|(A^c)] = e

Express P[B|A] in terms of a, b, e.

Problem #2 (20 pts)

A telephone transmission system typically consists of an equipment called a multiplexer, which is capable of multiplexing M active phone lines at a given time. Consider an active phone line transmits 1 packet per fixed time period T, and an inactive phone line, 0 packet per T.

Consider an apartment complex with 48 phone lines; the probability of each line transmitting signal is p , and not transmitting signal is 1-p , where p = 1/3. Let X be the number of packets transmitted per T, and X is a binomial random variable.

(Hint: P[X=k] = {n!/[(n-k)!k!]}( p ^k)[( 1-p )^(n-k)])

(a) (6 pts) Write down the expressions of the pdf and cdf of X

(b) (7 pts) What is P[X>24]? Express this in formula; you don't need to provide numeric value.

(c) (7 pts) If this apartment decides to use an M-line multiplexer for its transmission system and M (Hint: fraction of lost packes = number of discarded packets/total number of packets produced)

Problem #3 (20 pts)

A biased coin is tossed. What is the probability that you have to flip it exactly 8 times to see exactly 3 heads? P(Heads)=0.6.

Problem #4 (20 pts)

There are 5 accidents/month on a highway. Accidents on this highway are distributed as a Poisson random variable. Find the probability there will be no accidents in a given year.

Problem #5 (20 pts)

Tom and Paul roll (2) dice alternatively starting with Tom. Consider they use two fair 6-faced dice. The player who rolls 6 first wins. They continue to roll until one of them wins. Find the probability that Tom wins.

EE126, Midterm #1, Fall 2000

EE126, Fall 2000Midterm #1 Professor Chang-Hasnain 1

Problem #6 Extra Credit (10 pts)

The occurrence of event B makes A less likely (i.e. P(A|B)&#60P(B)). Does the occurrence of event A make B more likely, less likely, or doesn't it matter? Justify your answer.

Posted by HKN (Electrical Engineering and Computer Science Honor Society)

University of California at Berkeley

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EE126, Midterm #1, Fall 2000

Problem #6 Extra Credit (10 pts) 2