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1. Suppose that , , and
a) Find .
b) Are the events A and B independent? Why or why not?
2. Suppose that , , and . Find
a) The conditional probability that B occurs, given that A occurs.
b) The conditional probability that B does not occur given that A occurs.
c) The conditional probability that B occurs given that A does not occur.
3. Concerning the events A and B, the following probabilities are given
; ; .
Determine
a) ; b) ; c)
4. In a study of television viewing habits among married couples, a researcher found that for a popular Saturday night program 25% of the husbands viewed the program regularly and 30% of the wives viewed the program regularly. The study found that for couples where the husband watches the program regularly 80% of the wives also watch regularly.
a) What is the probability that both husband and wife watch the program regularly?
b) What is the probability that at least one-husband or wife-watches the program regularly?
c) What percentage of married couples do not have at least one regular viewer of the program?
5. Of 20 rats in a laboratory, 12 are males and 9 are infected with a virus. Of the 12 male rats, 7 infected with the virus. One rat is randomly selected from the laboratory.
a) If the selected rat is found to be infected, what is the probability that it is a female?
b) If the selected rat is found to be a male, what is the probability that it is infected?
c) Are the events “the selected rat is infected” and “the selected rat is male” independent? Why or why not?
6. Suppose , .
a) Determine if A and B are independent.
b) Determine if A and B are mutually exclusive.
c) Find if A and B are mutually exclusive.
7. An urn has three red and five blue balls. Suppose that 8 balls are selected at random and with replacement. What is the probability that the first three are red and the rest are blue balls?
Answer
1. a) ; ; =0.67; b) No;
2. a) 0.471; b) 0.529; c) 0.719; 3. a) 2/7; b) 32/63; c) 9/16; 4. a) 0.2;
b) 0.35; c) 65%; 5. a) 2/9; b) 7/12; c) No; 6. a) 0.61; b) 0.72; c) 0.641;
7. 0.00503;
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Multiplication rule for independent events | | | The law of total probability |