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This is the Solved Exam of Probability and Statistics which includes Hypergeometric, Distribution, Binomial, Discrimination etc. Key important points are: Distribution, Solution, Arrange, Restriction, Stand Next, Pairs, Friend, Standing Next, Boys or Girls, Matching Birthdays
Typology: Exams
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a. Find Var( X ) (a) 6/8 (b) 5/8 (c) 4/8 (d) 3/
b. Find E ( 2 X ) (a) 27/16 (b) 15/816 (c) 25/16 (d) 23/
Solutions. a. E ( X )= 0 *( 9 / 16 ) 1 *( 3 / 8 ) 2 *( 1 / 16 )=1/
. E ( X^2 ) 0 *( 9 / 16 ) 1 *( 3 / 8 ) 4 *( 1 / 16 ) 5 / 8
Var ( X ) 5 / 8 ( 1 / 2 )^2 3 / 8
b. E ( 2 X ) 1 * ( 9 / 16 ) 2 *( 3 / 8 ) 4 *( 1 / 16 ) 25 / 16
b. if Jim and Bob must stand next to each other? (a) 150 (b) 240 (c) 250 (d) 220
c. if there are 3 pairs of friend who insist of standing next to each other? (a) 45 (b) 44 (c) 48 (d) 42
d. if there are 3 boys and 3 girls and no boys or girls are allowed to stand next to each other? (a) 45 (b) 72 (c) 78 (d) 42 Solutions a. 6!=
b. 254!=
c. 3 !* 23 48
d. 23!3!=
a. P ( Ac^ B ) (a) .11 (b) .15 (c) .13 (d).
b. P ( A Bc ) (a) .91 (b) .85 (c) .53 (d).
Solution:
A Ac
B .21 .09. c B^ .29^ .41^. .5.
So a. P ( Ac^ B )=.
b. P ( A Bc )=.21+.29+.41=.
Solution:. 75 365
4
1
i
i
i j k
i j
i
P A A A i j k
P A A i j
P A i
Find ( )
4
1
i
P Ai
(a) 9/13 (b) 3/8 (c) 7/8 (d) 5/
(a) .030 (b) .006 (c) .001 (d).
c. What is the probability that a defective part was produced on one of the “good” days? (a) .23 (b) .26 (c) .31 (d).
d. What is the probability that a defective part was produced on one of the “bad” days? (a) .77 (b) .74 (c) .61 (d).
e. Two parts were produced on the same day. The first part turned out to be defective. What is the probability that the 2nd^ part is defective as well? Hint : The probability that those parts were produced on good/bad days has changed from the original setup due to the information about the 1st^ part being defective ( as you saw in the previous 2 parts). (a) .034 (b) .024 (c) .041 (d).
Solutions a. Let B denote production on bad days ( i.e. F and M) and G production on good days ( T, W, Th). We have P ( B ) 2 / 5 , P ( G ) 3 / 5. We also have P ( D | B ). 05 , P ( D | G ). 01. So : P ( D ) P ( D | B ) P ( B ) P ( D | G ) P ( G ). 05 *. 4 . 01 *. 6 . 026
b. P ( D G ) P ( D | G ) P ( G ). 01 *. 6 . 006
c. P ( G | D ) P ( G D )/ P ( D ). 006 /. 026 23 %
d. P ( B | D ) 1 P ( G | D ) 1 . 23 77 %
e. We again use the formula P ( D ) P ( D | B ) P ( B ) P ( D | G ) P ( G ) However here P ( B ). 77 , P ( G ). 23 as we found in previous 2 parts. So we get P ( D ). 05 *. 77 . 01 *. 23 . 041
(a)
x 0 1 2 P(X=x) 8/15 1/3 2/
(b)
x 0 1 2 P(X=x) 1/3 8/15 2/
(c)
x 0 1 2 P(X=x) 2/15 1/3 8/
(d)
x 0 1 2 P(X=x) 2/15 8/15 1/
Solution:
P(X=0) = 3
, P(X=1) = 15
, P(X=2) = 15
a. The distribution of X is: (a) Bernoulli (.25) (b) Binomial ( 4, .5) (c) Binomial ( 4, .25) (d) Binomial( 3, .25)
b. P(X=2) (a).04 (b) .42 (c).37 (d).
Solution: b. (. 25 ) (. 75 ). 14 2