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This is a sample exam for the stat311 final probability and statistics course. It covers topics such as probability distributions, joint probability mass functions, expected values, and variance. It includes problems on poisson distribution, normal distribution, and indicator random variables.
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(b) What is P (X ≥ 20)? (1 − p^1 + 2 p^2 )^19 (c) If the 1st head did not occur on the 100th toss, what is the probability that it will occur on the 110th toss? ( 2 −p^12 − p^2 )^9 ( p^1 + 2 p^2 )
| Y
0 | 0 1/8 1/16 1/ 1 | 0 1/16 3/16 3/ X 2 | 1/16 0 1/16 0 3 | 0 1/16 0 1/
(a) P (X = 2, Y > 3) =? 1 16
(c) P (Y > 3 |X = 2) =? 1 2
(c) Are X, Y independent random variables? Why? No, X, Y are not independent. as pX (x)pY (y) is not pX,Y (x, y)
(d) P (2X > Y ) =? 1 8
(^22) e−λ 2 2 −^
λ^32 e−λ^2 6 )
(b) What is P (Z ≥ E(Z))? 1 2
(c) Find the variance of Z. 23 12
(b) What is the CDF FX (x)?
FX (x) =
0 x < − π 2 x+ π 2 π −^
π 2 ≤^ x^ ≤^
π 2 1 x > π 2
(c) What is the PDF fX (x)?
fX (x) =
1 π −^
π 2 < x <^
π 2 0 otherwise
(d) What is the mean of X? 0
fX (x) =
4 x^3 , 0 < x < 1 0 , otherwise 15 16
(b) A balanced die is tossed twice. Let X and Y denote the smaller and larger of the two face values respectively. Let M = X+ 2 Y. Find P (M = 1.5). 1 18