In: Statistics and Probability
7. Consider the following scenario:
• Let P(C) = 0.2
• Let P(D) = 0.3
• Let P(C | D) = 0.4
Part (a)
Find P(C AND D).
Part (b)
Are C and D mutually exclusive? Why or why not?C and D are not
mutually exclusive because
P(C) + P(D) ≠ 1
.C and D are mutually exclusive because they have different
probabilities. C and D are not mutually exclusive because
P(C AND D) ≠ 0
.There is not enough information to determine if C and D are
mutually exclusive.
Part (c)
Are C and D independent events? Why or why not?The events are not
independent because the sum of the events is less than 1.The events
are not independent because
P(C) × P(D) ≠ P(C | D)
. The events are not independent because
P(C | D) ≠ P(C)
.The events are independent because they are mutually
exclusive.
Part (d)
Find P(D | C).
8. G and H are mutually exclusive events.
• P(G) = 0.5
• P(H) = 0.3
Part (a)
Explain why the following statement MUST be false:
P(H | G) = 0.4.
The events are mutually exclusive, which means they can be added
together, and the sum is not 0.4.The statement is false because P(H
| G) =
P(H) |
P(G) |
= 0.6. To find conditional probability, divide
P(G AND H) by P(H)
, which gives 0.5.The events are mutually exclusive, which
makes
P(H AND G) = 0
; therefore,
P(H | G) = 0.
Part (b)
Find
P(H OR G).
Part (c)
Are G and H independent or dependent events? Explain
G and H are dependent events because they are mutually exclusive.
G and H are dependent events because
P(G OR H) ≠ 1.
G and H are independent events because they are mutually exclusive.
There is not enough information to determine if G and H are independent or dependent events.
9.
Approximately 281,000,000 people over age five live in the United States. Of these people, 55,000,000 speak a language other than English at home. Of those who speak another language at home, 62.3 percent speak Spanish.
• E = speaks English at home
• E' = speaks another language at home
• S = speaks Spanish at home
Finish each probability statement by matching the correct answer.
Part (a)
P(E' )
= ---Select--- 0.1219 0.1957 0.6230 0.8043
Part (b)
P(E)
= ---Select--- 0.1219 0.1957 0.6230 0.8043
Part (c)
P(S and E' )
= ---Select--- 0.1219 0.1957 0.6230 0.8043
Part (d)
P(S | E' )
= ---Select--- 0.1219 0.1957 0.6230 0.8043
7(a) P( C and D) = P( C I D ) *P(D) = 0.4*0.3 =0.12
b) C and D are not mutually exclusive because P(C) +P(D) 1
Note : Two events C and D are said to be mutually exclusive if sum of their probabilities is equal to 1.
c)The events C and D are not indpendent because P( C I D) P(C)
Note : Two events C and D are said to be independent if probability of occurance of C given that D has occurred is same as probability of occurance of C. , that is C and D are said to be independent if P( C I D) = P(C) .
d) Using Baye's theorem
P( D I C) = P( C I D) *P( D) / P( C) =0.4*0.3/0.2 =0.6
8a) P( H I G) =0.4 is false
To find conditional probability divide P( H and G) by P(G)
The events are mutually exclusive which gives P( H and G) =0
Thus , P( H I G) = 0
b) P( H or G) = P( H) +P(G) - P( H and G)
= 0.3 +0.5- 0
= 0.8
c) G and H are dependent events as they are mutually exclusive
Note : Two events G and H are said to be independent if P( G and H ) = P( G) *P(H)
But P( G and H) =0 as they are mutually exclusive
P( G ) *P(H) = 0.3*0.5=0.15
Thus , we get P( G and H ) P( G) *P(H)
9a) P(E') = 55000000 / 281000000= 0.1957
b) P(E) = 1- P( E') =1-0.1957 = 0.8043
c) P( S and E') = P( S I E') *P( E') = 0.623*0.1957 =0.1219
d) P( S I E') = 0.6230