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Material Type: Exam; Class: APPLIED PROBABILITY; Subject: Statistics; University: Rice University; Term: Unknown 1989;
Typology: Exams
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Stat 331/Elec 331, Midterm Exam, due October 9, at 5 pm
Solutions should be clear, complete and easy to follow. You are allowed to to use the book, lecture notes and previous homework with solutions. Col- laboration is not allowed. The time limit is five hours. The maximum score is given at the end of each problem. Late turn-ins are not accepted.
a. Determine the constant c so that this becomes a pdf for a continuous random variable X.
b. Compute E[X], V ar[X] and P (X > 0 .5).
c. Let Y =
X and find the pdf for Y.
d. Compute E[Y ] and V ar[Y ]. ( 4 )
a. If A is an event such that P (A) = 0, then A = ∅.
b. If p is the pmf for a discrete random variable then p(x) ≤ 1 for all x.
c. If f is the pdf for a continuous random variable then f (x) ≤ 1 for all x.
d. If X ∼ exp(λ), then 2X ∼ exp (λ/2)
e. If X ∼ unif (− 1 , 1), then |X| ∼ unif (0, 1).
f. If X ∼ bin (n, p), then 2X ∼ bin (2n, p). ( 6 )
being sent.
a. If 1 is received, what is the probability that 1 was sent?
b. If the sequence 10 is sent, what is the probability that it is received incorrectly?
c. If the sequence 10 is received, what is the probability that this is the sequence that was sent? ( 4 )
a. Find the joint pdf f (x, y) and sketch the region where it is positive.
b. Compute P (X > Y ).
c. Find fY (y), the marginal pdf of Y , and sketch its graph. ( 6 )