Solutions to the Sample Problems in Study Guide 1
Problem 1
P(R) = 0.2 P(N) = 0.3
P(R' N' )
= 0.6
Part (a)
P(R N) = 1 - P(R'
N' )
= 1 - 0.6 = 0.4
Part (b)
P(R N) = P(R) + P(N) - P(R
N)
= 0.2 + 0.3 - 0.4 = 0.1
Part (c)
Events R and N are not mutually exclusive since P(R
N) 0.
Part (d)
P(R) · P(N) = (0.2) (0.3) = 0.06
P(R N)
Hence events R and N are not independent
Problem 2
A - customer purchases a suit
H - customer purchases a shirt
T - customer purchases a tie
P(A) = 0.22 P(H) = 0.30 P(T)
= 0.28
P(A H) = 0.11
P(A T) = 0.14 P(H
T) = 0.10
P(A H
T) = 0.06
Part (a)
P(purchases at least one item) = P (A
H T )
= P(A) + P(H) + P(T) - P(A H) - P(A
T) - P(H T) + P(A
H T)
= 0.22 + 0.30 + 0.28 -0.11 - 0.14 -0.10 + 0.06 = 0.51
P(purchases none of these items) = P(A'
H' T' ) = 1 -
P (A H
T )
= 1 - 0.51 = 0.49
Part (b)
Problem 3
E - Englishman A - American V - selected word is a vowel
Rigour Rigor
P(V | E) = 3/6 = 0.5
P(V | A) = 2/5 = 0.4
P(E) 0.4
P(A) = 0.6
P(E | V) = P(E
V) / P(V)
P(V) = P(V | E) P(E) + P(V |
A) P(A)
= (0.5)(0.4) + (0.4)
( 0.6)
= 0.20 + 0.24 = 0.44
P(E | V) = 0.2/0.44 = 0.45
Problem 4
Ei = engine i operates
P(Ei ) = 0.9
P("safe flight") = P( at least one engine operates) = P(E1
E2 E3 . .
. . .En
)
= 1 - P(none of the engines operates)
= 1 - P(E1' E2'
E3' . . . . .En')
= 1- P(E1' ) P( E2' ) P(E3'
) . . . . .P( En' ) since independent
engines
=1 - (0.1)n = 0.999
(0.1)n = 0.001
(1/10)n = (1/10)3
Hence n = 3
Problem 5
Ci - an individual contributed virus to the pool
Let P(Ci' ) = q
P(batch contaminated) = P( at least one individual contributed virus)
= 1 - P(none contributed virus)
= 1 - P(C1' C2'
C3' . . . . .C100')
= 1- P(C1' ) P( C2' ) P(C3'
) . . . . .P( C100' ) assuming
independence
=1 - q100
=0.33
hence q = (0.33)1/100 = 0.98897
P(an individual contributed virus) = 1- q = 1- 0.98897 = 0.01103
Problem 6
Five (5) tagged and fifteen (15) not tagged
Problem 7
R - right key W - wrong key
A - opens the door on the 4th try
Part a : discarding previously used keys
Using counting rules
P(A) = (10 -1)!/10! = 1/10 = 0.1
Using conditional probability
P(W1 W2
W3 R4 )
= P(W1 ) P(W2 | W1
) P(W3 | W1
W2 ) P(R4 | W1
W2 W3 )
= (9/10) (8/9) (7/8)(1/7) =1/10
Part b: not discarding previously used keys
Using counting rules
P(A) = (93 )/ ( 104 ) = 0.0729
Using independence rule
P(W1 W2
W3 R4 ) = P(W1
) P( W2 ) P(W3 ) P( R4 )
= (9/10) (9/10) (9/10) (1/10) = 0.0729
Problem 8