A group of people were given a personality test to determine if they were Type A or Type B. The results are shown in the table below:
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OpenStudy (anonymous):
OpenStudy (anonymous):
Compare P(Female or Type B) with P(Female | Type B).
There is not enough information.
P(Female or Type B) > P(Female | Type B)
P(Female or Type B) = P(Female | Type B)
P(Female or Type B) < P(Female | Type B)
OpenStudy (anonymous):
how in god's green earth did we go from trig to probability in one jump?
OpenStudy (anonymous):
P(Female or Type B) lets compute it
OpenStudy (anonymous):
okay.
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OpenStudy (anonymous):
how many are female ?
OpenStudy (anonymous):
22
OpenStudy (anonymous):
or in total?
OpenStudy (anonymous):
in total
all females
OpenStudy (anonymous):
because the "or" means "or" not "and" so we need to count
all females not just some
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OpenStudy (anonymous):
97
OpenStudy (anonymous):
yes
now for the "or" part we also need males that are type B
how many of those?
OpenStudy (anonymous):
103
OpenStudy (anonymous):
yes but we have to be careful
we already counted the female type B and we don't want to count them twice
how many male type B?
OpenStudy (anonymous):
48?
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OpenStudy (anonymous):
right
to "type B or Female total" total is \(48+97=145\)
OpenStudy (anonymous):
that is one or the other or both
now a quick count shows that the total number of people in the whole thing is \(55+75+48+22=200\)
OpenStudy (anonymous):
okay!
OpenStudy (anonymous):
making
\[P(\text{Female or Type B}) =\frac{145}{200}\]
OpenStudy (anonymous):
this one is easier
P(Female | Type B).
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OpenStudy (anonymous):
70
OpenStudy (anonymous):
yes
of those 70, how many are female?
OpenStudy (anonymous):
22
OpenStudy (anonymous):
good
that makes
\[P(\text{female}|\text{type B})=\frac{22}{70}\]
OpenStudy (anonymous):
yeah
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OpenStudy (anonymous):
so is it the last option?
OpenStudy (anonymous):
now your last job it to compare those numbers
probably need decimals for each but it should be pretty clear that \[\frac{145}{200}>\frac{22}{70}\]
OpenStudy (anonymous):
so it's P(Female or Type B) < P(Female | Type B)
OpenStudy (anonymous):
no your inequality is backwards
OpenStudy (anonymous):
P(Female or Type B) > P(Female | Type B)
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