Probability bays theorem


Assignment:

Q1.  If P(A) = 0.5, P(B)= 0.4, and P(B¦A) = 0.3, then P(A and B) is

Q2.  If A and B are mutually exclusive events and P(A) = 0.3 and P(B) = 0.6, then P(A and B) is

Q3.  How many ways can a Math Club schedule 4 speakers for 4 different meetings if they are all available on any of 6 possible dates?

Q4.  A human gene carries a certain disease from mother to the child with a probability of 0.65.  Suppose a mother of two children carries the gene.  Also, assume that infection from child to child is independent.  The probability that both children are infected with the disease is

Q5.  A lot contains 20 fuses of which 5 are defective.  If two fuses are selected at random without replacement, what is the probability that at most one is defective?

Q6.  If A and B are two mutually exclusive events with P(A) = 0.15 and P(B) = 0.4, then P(A and B’), (i.e. probability of A and B complement) is

Q7.  On a particular college campus, 65% of the non-traditional students are smokers.  Research indicates that 15% of the smokers have some form of lung cancer.  The probability of a non-traditional student on this campus having lung cancer given that the student is a smoker is

Q8.  A large industrial firm uses three different warehouses (A, B and C) to store its manufactured product.  From past records, it is known that 20% of the manufactured product are assigned to warehouse A, 50% are assigned to B, and 30% to warehouse C.  If it is known that 5% of the product in warehouse A are defective, 4% in warehouse B are defective, and 8% in warehouse C are defective, what is the probability that if a product is selected at random from one of these warehouses that it will be defective?

Q9.  A large industrial firm uses three different warehouses (A, B and C) to store its manufactured product.  From past records, it is known that 20% of the manufactured product are assigned to warehouse A, 50% are assigned to B, and 30% to warehouse C.  If it is known that 5% of the product in warehouse A are defective, 4% in warehouse B are defective, and 8% in warehouse C are defective, what is the probability that if a defective product is selected at random that it came from warehouse C?

Q10.  From a group of 5 men and 6 women, how many committees of size 3 are possible with two men and 1 women if a certain man must be on the committee?

Q11.  A shipment of 12 calculators contains 3 defective calculators.  In how many ways can a school purchase 5 of these calculators and receive at least two of the defective calculators?

Q12.  The probability that a patient recovers from an operation is 0.9.  What is the probability that exactly 2 of the next 3 patients who have this operation will recover?

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Basic Statistics: Probability bays theorem
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