the principal of a school plans a school picnic for June 2. a few days before the event, the weather forecast predicts rain for June 2, so the principle decides to cancel the picnic. consider the following information. in the school's town, the probability that it rains on any day in June is 3%. when it rains, the forecast correctly predicts rain 90% of the time. when it does not rain, the forecast incorrectly predicts rain 5% of the time. let event a be the event that it rains on a day in June. let event b be the event that the forecast predicts rain. do you think the principal...
made a good decision? why or why not?
this is a series of questions
@dan815
what is probability of b given a
P(B l A)
okay what is B and A
in the question
last two lines
P(B|A) means A given B or B given A?
b given a
okay so chance the forecast predicts right given it rains then
when it rains, the forecast correctly predicts rain 90% of the time.
P(B|A)=0.9=90%
a formula for P(B l A) is that is P(A intersection B) times P(A) all divided by P(B)
?
no not times P(A) formula above
how did you figure out that the second thing was that
P(B|A)=P(a n b)/P(b) like that?
yeah
because the statement is already telling us what we want
no
P(A) at bottom
how did you know it was it
oh sry ya p(a) bottom
P(B|A) is asking the probability of B given A probability of rain prediction when it rains
and this statement is giving you the answer "when it rains, the forecast correctly predicts rain 90% of the time. "
oh
now what is P(A)
now what is P(A)
3% chance it rains on a day in june
is a?
ya
\[P \left( a ^{c} \right)\] is what
.97?
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