Respuesta :
Answer:
[tex]P(Same\ Bill) = \frac{1}{3}[/tex]
[tex]P(Second<First\ Bill) = \frac{1}{3}[/tex]
[tex]P(Both\ Even) = \frac{1}{9}[/tex]
[tex]Pr(One\ Odd) = \frac{4}{9}[/tex]
[tex]P(Sum < 10) = \frac{1}{3}[/tex]
Step-by-step explanation:
Given
[tex]Bills: \$1, \$5, \$10[/tex]
[tex]Selection = 2\ bills[/tex]
The sample space is as follows:
This implies that we construct possible outcome that Ebony selects a bill, returns the bill and then select another.
This means that there are possibilities that the same bill is selected twice.
So, the sample space is as follows:
[tex]S = \{(1,1), (1,5), (1,10), (5,1), (5,5), (5,10), (10,1), (10,5), (10,10)\}[/tex]
[tex]n(S) = 9[/tex]
Solving (a): [tex]P(Same\ Bill)[/tex]
This means that the first and second bill selected are the same.
The outcome of this are:
[tex]Same = \{(1,1),(5,5),(10,10)\}[/tex]
[tex]n(Same\ Bill) = 3[/tex]
The probability is:
[tex]P(Same\ Bill) = \frac{n(Same\ Bill)}{n(S)}[/tex]
[tex]P(Same\ Bill) = \frac{3}{9}[/tex]
[tex]P(Same\ Bill) = \frac{1}{3}[/tex]
Solving (a): [tex]P(Second < First\ Bill)[/tex]
This means that the second bill selected is less than the first.
The outcome of this are:
[tex]Second < First = \{(1,5), (1,10), (5,10)\}[/tex]
[tex]n(Second < First) = 3[/tex]
The probability is:
[tex]P(Second<First\ Bill) = \frac{n(Second<First\ Bill)}{n(S)}[/tex]
[tex]P(Second<First\ Bill) = \frac{3}{9}[/tex]
[tex]P(Second<First\ Bill) = \frac{1}{3}[/tex]
Solving (c): [tex]P(Both\ Even)[/tex]
This means that the first and the second bill are even
The outcome of this are:
[tex]Both\ Even = \{(10,10)\}[/tex]
[tex]n(Both\ Even) = 1[/tex]
The probability is:
[tex]P(Both\ Even) = \frac{n(Both\ Even)}{n(S)}[/tex]
[tex]P(Both\ Even) = \frac{1}{9}[/tex]
Solving (e): [tex]P(Sum < 10)[/tex]
This question has missing details.
The correct question is to determine the probability that, the sum of both bills is less than 10
The outcome of this are:
[tex]One\ Odd = \{(1,10), (5,10), (10,1), (10,5)\}[/tex]
[tex]n(One\ Odd) = 4[/tex]
The probability is:
[tex]Pr(One\ Odd) = \frac{n(One\ Odd)}{n(S)}[/tex]
[tex]Pr(One\ Odd) = \frac{4}{9}[/tex]
Solving (d): [tex]P(One\ Odd)[/tex]
This question has missing details.
The correct question is to determine the probability that, exactly one of the bills is 0dd
The outcome of this are:
[tex]Sum < 10 = \{(1,1), (1,5), (5,1)\}[/tex]
[tex]n(Sum < 10) = 3[/tex]
The probability is:
[tex]P(Sum < 10) = \frac{n(Sum < 10)}{n(S)}[/tex]
[tex]P(Sum < 10) = \frac{3}{9}[/tex]
[tex]P(Sum < 10) = \frac{1}{3}[/tex]