Experience shows that 20% of all participants in the Statistics 1 exam achieve a good grade. 40% of participants are female and 18% of female participants write a good exam.
a) What is the probability that a randomly selected student is a
man who has not written a good exam?
b) A student has written a good exam. What is the probability that it was a woman?
c) The probability in statistic 2 to write a good exam is 0.15. Calculate the probability that a student is good in both exams if the results of both exams are independent of each other.
d) A student who was already good in statistic 1 is also good in statistic 2 with a probability of 0.3. Under these new conditions, calculate the probability that a student is good in both exams.
e ) A randomly selected student has written a good Statistics 2
exam.
Under the same conditions as in d), what is the probability that
his statistic 1 exam was also good, if a student with a not good
statistic 1 exam writes a good statistic 2 exam in 20% of all
cases?
What is the probability that a student with a not good statistic 1 exam would have to write a good statistic 2 exam in order for the results of the two exams to be independent of each other?
What would be the probability if it were known that the events "good statistic 1 exam" and "good statistic 2 exam" are disjoint and that the overall probability calculated in e) to write a good statistic 2 exam should not change.
(there are more than 4 parts, as per policy i am answering first 4 parts)
a.
P(good exam) = P(man, good exam) + P(woman, good exam)
= P(man, good exam) + P(woman)*P(good exam | woman)
0.20 = P(man, good exam) + 0.40*0.18
P(man, good exam) = 0.20 - 0.40*0.18 = 0.128
P(man, not good exam) = P(man) - P(man, good exam)
= (1-0.40) - 0.128
= 0.472
b.
P(woman | good exam) = P(woman)*P(good exam | woman) / P(good exam)
= 0.40*0.18 / (0.20)
= 0.36
c.
given they are independent, therefore :
P(both good) = P(1 good)*P(2 good)
= 0.2*0.15
= 0.03
d.
P(both good) = P(1 good)*P(2 good | 1 good)
= 0.20*0.30
= 0.06
(please upvote)
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