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A) 0.333
B) 0.400
C) 0.833
D) 1.000
E) 0.480
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A) their probabilities can be added.
B) they may also be collectively exhaustive.
C) the joint probability is equal to 0.
D) if one occurs, the other cannot occur.
E) All of the above
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A) 0.45
B) 0.50
C) 0.40
D) 0.05
E) None of the above
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A) 0.16
B) 0.24
C) 0.80
D) 0.36
E) None of the above
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A) 0.05
B) 0.20
C) 0.25
D) 0.80
E) None of the above
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A) The probability of a partner winning on the second draw given that a partner won on the first draw is 3/14.
B) The probability of a secretary winning on the second draw given that a secretary won on the first draw is 2/15.
C) The probability of a consultant winning on the second draw given that a consultant won on the first draw is 5/14.
D) The probability of a partner winning on the second draw given that a secretary won on the first draw is 8/30.
E) None of the above are true.
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A) 0.50
B) 0.20
C) 0.80
D) 1.00
E) None of the above
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A) 0.45
B) 0.50
C) 0.55
D) 0.05
E) None of the above
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A) 0.100
B) 0.001
C) 0.300
D) 0.299
E) 0.700
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A) 0.000
B) 1.100
C) 0.198
D) 0.200
E) 0.900
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A) 0.20
B) 0.25
C) 0.30
D) 0.50
E) None of the above
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View Answer
A) 0
B) 1.000
C) 0.500
D) 1/8
E) None of the above
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A) 0.05
B) 0.20
C) 0.25
D) 0.30
E) None of the above
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A) 1/3
B) 2/3
C) 1
D) 4/3
E) None of the above
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A) The F distribution is discrete.
B) The F distribution is symmetrical.
C) The F distribution is useful in modeling customer arrivals.
D) The F distribution is useful in testing hypotheses about variance.
E) The F distribution is interchangeable with the normal distribution for large sample sizes.
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A) the total number of trials.
B) the relative frequency of occurrence.
C) the number of occurrences of the event.
D) experience and judgment.
E) None of the above
Correct Answer
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