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Unformatted text preview: la for the A. conditional probability B. addition rule C. addition rule for two mutually exclusive events D. multiplication rule 23. A(n) _____ is the set of all of the distinct possible outcomes of an experiment. A. Sample Space B. Union C. Intersection D. Observation 24. The _____ of an event is a number that measures the likelihood that an event will occur when an experiment is carried out. A. Outcome B. Probability C. Intersection D. Observation 25. When the probability of one event is influenced by whether or not another event occurs, the events are said to be _____. A. Independent B. Dependent C. Mutually exclusive D. Experimental 26. A process of observation that has an uncertain outcome is referred to as a(n) _____. A. Probability B. Frequency C. Conditional probability D. Experiment 1-241 Chapter 01 - An Introduction to Business Statistics 27. When the probability of one event is not influenced by whether or not another event occurs, the events are said to be _____. A. Independent B. Dependent C. Mutually exclusive D. Experimental 28. A probability may be interpreted as a long run _____ frequency. A. Observational B. Relative C. Experimental D. Conditional 29. If events A and B are independent, then P(A|B) is equal to _____. A. P(B) B. P(A ∩ B) C. P(A) D. P(A U B) 30. The simultaneous occurrence of event A and B is represented by the notation: _______. A. A U B B. A│B C. A B D. B│A 31. A(n) _______________ probability is a probability assessment that is based on experience, intuitive judgment, or expertise. A. Experimental B. Relative frequency C. Objective D. Subjective 1-242 Chapter 01 - An Introduction to Business Statistics 32. A(n) ______________ is a collection of sample space outcomes. A. Experiment B. Event C. Set D. Probability 33. Probabilities must be assigned to experimental outcomes so that the probabilities of all the experimental outcomes must add up to ___. A. 1 B. between 0 and 1 C. between -1 and 1 D. 0 34. Probabilities must be assigned to experimental outcomes so that the probability assigned to each experimental outcome must be between ____ and ____ inclusive. A. 0 and 100 B. -100 and 100 C. 0 and 1 D. -1 and 1 35. The __________ of event X consists of all sample space outcomes that do not correspond to the occurrence of event X. A. Independence B. Complement C. Conditional probability D. Dependence 36. The _______ of two events A and B is another event that consists of the sample space outcomes belonging to either event A or event B or both event A and B. A. Union B. Intersection C. Complement D. Mutually exclusivity 1-243 Chapter 01 - An Introduction to Business Statistics 37. The _______ of two events A and B is the event that consists of the sample space outcomes belonging to both event A and event B. A. Union B. Intersection C. Complement D. Mutually exclusivity 38. What is the probability of rolling a seven with a pair of fair dice? A. 6/36 B. 3/36 C. 1/36 D. 8/36 E. 7/36 39. What is the probability of rolling a value higher than eight with a pair of fair dice? A. 6/36 B. 18/36 C. 10/36 D. 8/36 E. 12/36 40. What is the probability that an even number appears on the toss of a die? A. 0.5 B. 0.33 C. 0.25 D. 0.67 E. 1.00 1-244 Chapter 01 - An Introduction to Business Statistics 41. What is the probability that a king appears in drawing a single card form a deck of 52 cards? A. 4/13 B. 1/13 C. 1/52 D. 1/12 E. 2/13 42. If we consider the toss of four coins as an experiment, how many outcomes does the sample space consist of? A. 8 B. 4 C. 16 D. 32 E. 2 43. What is the probability of at least one tail in the toss of three fair coins? A. 1/8 B. 4/8 C. 5/8 D. 7/8 E. 6/8 44. A lot contains 12 items, and 4 are defective. If three items are drawn at random from the lot, what is the probability they are not defective? A. 0.3333 B. 0.2545 C. 0.5000 D. 0.2963 E. 0.0370 1-245 Chapter 01 - An Introduction to Business Statistics 45. A person has dealt 5 cards from a deck of 52 cards. What is the probability they are all clubs? A. 0.2500 B. 0.0962 C. 0.0769 D. 0.0010 E. 0.0005 46. A group has 12 men and 4 women. If 3 people are selected at random from the group, what is the probability that they are all men? A. 0.4219 B. 0.5143 C. 0.3929 D. 0.0156 E. 0.0045 47. Container 1 has 8 items, 3 of which are defective. Container 2 has 5 items, 2 of which are defective. If one item is drawn from each container: What is the probability that both items are not defective? A. 0.3750 B. 0.3846 C. 0.1500 D. 0.6154 E. 0.2000 48. Container 1 has 8 items, 3 of which are defective. Container 2 has 5 items, 2 of which are defective. If one item is drawn from each container: What is the probability that the item from container one is defective and the item from container 2 is not defective? A. 0.3846 B. 0.2250 C. 0.3750 D. 0.6154 E. 0.1500 1-246 Chapter 01 - An Introduction to Business Statistics 49. Container 1 has 8 items, 3 of which are defective. Container 2 has 5 items, 2 of which are defective. If one item is...
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This document was uploaded on 01/20/2014.

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