Ch06_Sect04-05_Keller MS_AISE TB

# Ch06_Sect04-05_Keller MS_AISE TB - CHAPTER 6 SECTION 4-5...

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CHAPTER 6 SECTION 4-5: PROBABILITY MULTIPLE CHOICE 188. A posterior probability value is a prior probability value that has been: a. modified on the basis of new information. b. multiplied by a conditional probability value. c. divided by a conditional probability value. d. added to a conditional probability value. ANS: A PTS: 1 REF: SECTION 6.4-6.5 189. Which of the following statements is false? 190. Which of the following statements is false regarding a scenario using Bayes' Law? 191. Bayes' Law is used to compute: 192. Initial estimates of the probabilities of events are known as: a. joint probabilities b. posterior probabilities c. prior probabilities d. conditional probabilities ANS: C PTS: 1 REF: SECTION 6.4-6.5 TRUE/FALSE 193. Bayes' Law allows us to compute conditional probabilities from other forms of probability. ANS: T PTS: 1 REF: SECTION 6.4-6.5 This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher.

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194. Although there is a formula defining Bayes' law, you can also use a probability tree to conduct calculations. ANS: T PTS: 1 REF: SECTION 6.4-6.5 195. Conditional probabilities are also called likelihood probabilities. ANS: T PTS: 1 REF: SECTION 6.4-6.5 196. In applying Bayes' Law, as the prior probabilities increase, the posterior probabilities decrease. ANS: F PTS: 1 REF: SECTION 6.4-6.5 197. Bayes' Law is a formula for revising an initial subjective (prior) probability value on the basis of new results, thus obtaining a new (posterior) probability value. ANS: T PTS: 1 REF: SECTION 6.4-6.5 198. Prior probability of an event is the probability of the event before any information affecting it is given.
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