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Slide 5- 1 Copyright © 2010 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Business Statistics First Edition by Sharpe, De Veaux, Velleman Chapter 5: Randomness and Probability

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Slide 5- 2 Copyright © 2010 Pearson Education, Inc. Each attempt of a random phenomenon that generates an outcome is call a(n) A. trial. B. event. C. probability. D. experiment.

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Slide 5- 3 Copyright © 2010 Pearson Education, Inc. Each attempt of a random phenomenon that generates an outcome is call a(n) A. trial. B. event. C. probability. D. experiment.

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Slide 5- 4 Copyright © 2010 Pearson Education, Inc. The collection of all possible outcomes from a random phenomenon is referred to as the A. event set. B. sample space. C. census space. D. non null set.

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Slide 5- 5 Copyright © 2010 Pearson Education, Inc. The collection of all possible outcomes from a random phenomenon is referred to as the A. event set. B. sample space. C. census space. D. non null set.

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Slide 5- 6 Copyright © 2010 Pearson Education, Inc. For independent trials, the Law of Averages states that as the number of trials increases, the long run relative frequency of repeated events gets closer and closer to a single value. A. True B. False

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Slide 5- 7 Copyright © 2010 Pearson Education, Inc. For independent trials, the Law of Averages states that as the number of trials increases, the long run relative frequency of repeated events gets closer and closer to a single value. A. True B. False

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Slide 5- 8 Copyright © 2010 Pearson Education, Inc. The probability determined from the long run relative frequency of an event’s occurrence is call a(n) A. theoretical probability. B. random probability. C. personal probability. D. empirical probability.

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Slide 5- 9 Copyright © 2010 Pearson Education, Inc. The probability determined from the long run relative frequency of an event’s occurrence is call a(n) A. theoretical probability. B. random probability. C. personal probability. D. empirical probability.

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Slide 5- 10 Copyright © 2010 Pearson Education, Inc. The probability of drawing a face card (JQK) from a deck of cards is A. 1/2. B. 1/4. C. 3/13. D. 4/13.

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Slide 5- 11 Copyright © 2010 Pearson Education, Inc. The probability of drawing a face card (JQK) from a deck of cards is A. 1/2. B. 1/4. C. 3/13. D. 4/13.

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Slide 5- 12 Copyright © 2010 Pearson Education, Inc. A fair coin has come up “heads” 10 times in a row. The probability that the coin will come up heads on the next flip is A. less than 50%, since “tails” are due to come up. B. 50%. C. greater than 50%, since it appears that we are in a streak of “heads.” D. not able to be determined.

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Slide 5- 13 Copyright © 2010 Pearson Education, Inc. A fair coin has come up “heads” 10 times in a row. The probability that the coin will come up heads on the next flip is A. less than 50%, since “tails” are due to come up. B. 50%. C. greater than 50%, since it appears that we are in a streak of “heads.” D. not able to be determined.

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Slide 5- 14 Copyright © 2010 Pearson Education, Inc. If P(A) is 0.35, then P(A C ) is A. 0 B. 1 C. 0.65 D. 0.50

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Slide 5- 15 Copyright © 2010 Pearson Education, Inc. If P(A) is 0.35, then P(A C ) is A. 0 B. 1 C. 0.65 D. 0.50

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Slide 5- 16 Copyright © 2010 Pearson Education, Inc. Disjoint (mutually exclusive) sets are always independent. A. True B. False

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Slide 5- 17 Copyright © 2010 Pearson Education, Inc. Disjoint (mutually exclusive) sets are always independent. A. True B. False

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Slide 5- 18 Copyright © 2010 Pearson Education, Inc. When we get to a stop light, it has to be either red, green or yellow. The P(red) = 0.61, P(green) = 0.35, and P(yellow) = 0.04. You travel this intersection every day. What is the probability the light will be yellow two days in a row when you arrive? A. 0.08 B. 0.0016 C. 0.96 D. Cannot be determined

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Slide 5- 19 Copyright © 2010 Pearson Education, Inc. When we get to a stop light, it has to be either red, green or yellow. The P(red) = 0.61, P(green) = 0.35, and P(yellow) = 0.04. You travel this intersection every day. What is the probability the light will be yellow two days in a row when you arrive? A. 0.08 B. 0.0016 C. 0.96 D. Cannot be determined

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Slide 5- 20 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. What is the marginal probability that a viewer was female? A..548 B..198 C..268 D..512

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Slide 5- 21 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. What is the marginal probability that a viewer was female? A..548 B..198 C..268 D..512

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Slide 5- 22 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. What is the probability that a viewer was female and did not watch the Super Bowl? A..159 B..310 C..643 D..512

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Slide 5- 23 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. What is the probability that a viewer was female and did not watch the Super Bowl? A..159 B..310 C..643 D..512

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Slide 5- 24 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. What is the probability that a viewer was female or did not watch the Super Bowl? A..159 B..310 C..643 D..512

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Slide 5- 25 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. What is the probability that a viewer was female or did not watch the Super Bowl? A..159 B..310 C..643 D..512

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Slide 5- 26 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. Given that the viewer was male, what is the probability that he did not watch the game? A..198 B..452 C..268 D..277

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Slide 5- 27 Copyright © 2010 Pearson Education, Inc. The following is a breakdown of TV viewers during the Super Bowl in 2007. Given that the viewer was male, what is the probability that he did not watch the game? A..198 B..452 C..268 D..277

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