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Mathematics 7 Online
OpenStudy (anonymous):

17.3% of Sweden's population are at least 65 years of age, 49.5% are younger than 40 and 58.8% are between 20 and 65. Consider the experiment that randomly chooses an inhabitant of Swedent. i) What is the probability that this person is between 20 and 40 years old?

OpenStudy (anonymous):

\[ \Pr(A\cup B) = \Pr(A)+\Pr(B)-\Pr(A\cap B) \]Gives us: \[ \Pr(A\cap B) = \Pr(A)+\Pr(B)-\Pr(A\cup B) \]

OpenStudy (anonymous):

what i did was use the P(A and B) formula so 58.8% x 49.5% = 29.1% would that be wrong?

OpenStudy (anonymous):

\(A\) will be the event that you are younger than 40, \(B\) will be the event you are older than 20.

OpenStudy (anonymous):

We know that \(\Pr(A) = 0.495\)

OpenStudy (anonymous):

@Sophie49 That formula only works for independent events. These are not independent events.

OpenStudy (anonymous):

Being under 40 affects the likelihood you are between 20 and 65.

OpenStudy (anonymous):

so the answer would be 31.5%

OpenStudy (anonymous):

?

OpenStudy (anonymous):

We need to find the probability that someone is over 20, okay?

OpenStudy (anonymous):

okay how do we do that?

OpenStudy (anonymous):

\(C\) is the even you are 20 - 65, \(D\) is the event you are 65+. \(B = C\cup D\) and there are mutually exclusive events. That means \[ \Pr(B) = \Pr(C)+\Pr(D) = 0.588+0.173 \]

OpenStudy (anonymous):

Actually, come to think of it... I think we can utilize: \[ \Pr(A\cap B) = \Pr(\overline{\overline{A}\cup \overline{B}}) \]

OpenStudy (anonymous):

Since \(\overline{A}\) and \(\overline{B}\) are mutually exclusive events... You cant be under 20 and over 40.

OpenStudy (anonymous):

\[ \Pr(A\cap B) = \Pr(\overline{\overline{A}\cup \overline{B}}) = 1- \Pr(\overline{A}\cup \overline{B}) = 1-[(1-\Pr(A)) + (1-\Pr(B))] \]

OpenStudy (anonymous):

Okay so this is my strategy...\[\begin{split} \Pr(A\cap B) &= \Pr(\overline{\overline{A}\cup \overline{B}}) \\ &= 1- \Pr(\overline{A}\cup \overline{B}) \\ &= 1- [\Pr(\overline{A})+\Pr(\overline{B})] \\ &= 1-[(1-\Pr(A)) + (1-\Pr(B))]\\ &= 1-[(1-(0.495)) + (1-(0.588+0.173))]\\ \end{split}\]

OpenStudy (anonymous):

That gives me 25.6%

OpenStudy (anonymous):

why do you subtract the whole thing by 1?

OpenStudy (anonymous):

\[ \Pr(\overline{A}) = 1-\Pr(A) \]

OpenStudy (anonymous):

\(A\) is some event, \(\overline{A}\) is the event that \(A\) doesn't happen.

OpenStudy (anonymous):

We know \[ \Pr(A)+\Pr(\overline{A}) = 1 \]Because either an event happens, or it doesn't happen.

OpenStudy (anonymous):

okay and then why did you add 0.588+0.173?

OpenStudy (anonymous):

17.3% of Sweden's population are at least 65 years of age 58.8% are between 20 and 65 This means the probability that you are older than 20 is the sum of the two.

OpenStudy (anonymous):

okay thanks!!!

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