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ReviewForEx_1.2011.Spring-v2

# ReviewForEx_1.2011.Spring-v2 - Review for Exam 1 ITI 111...

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Review for Exam 1. ITI 111. Spring 2011 In questions 1 3, we run an experiment consisting of one toss of a 4-sided (tetrahedral) die, whose faces are labeled 1, 2, 3, and 4. 1. A possible outcome of this experiment is (select all that apply): a. 2 b. {2} c. {1,2,3,4} d. 25% 2. The probability of rolling a 4 is (select all that apply): a. 25% b. 1:4 c. 1/3 d. ¼ 3. And finally, in this case, {2,3,1,4} is (select all that apply): 4. Now assume we run an experiment in which we toss a 4-sided die twice. In this case, the result {one 2 and one 4} is (select all that apply): In these next questions, we run an experiment picking a card at random for a deck, noting its color (which we denote as R for red and B for black). And putting that card back, and then randomly picking another card from the deck. So we could get the same card twice. For example: BR means ―first a black card and then a red card‖ 5. The sample space for this experiment is:

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6. If the deck is a usual one, what is the probability of the event ―At least o ne of the cards was RED‖? a. 25% b. 50% c. 66% d. 75% e. Can’t tell. 8. What is the probability of ―first red, and then black‖ 9. An outcome that can be decomposed into several distinguishable outcomes, such as "choosing an even card from a deck‖, is: 10 . And what about ―pulling the ace of hearts from a deck of cards?‖ a. elementary outcome b. compound outcome c. exclusive outcomes d. independent outcomes e. sample space f. None of the above 11 . The outcomes ―it rains in Beijing‖ and ―President McCormick gives a speech‖ are together an example of: 12 . The outcomes ―The visibility is poor and the winds are high‖ and ―some trees get blown down today‖ are together an example of :
a. elementary outcomes b. compound outcomes c. exclusive outcomes d. independent outcomes e. sample space f. not independent outcomes Conditional Probability and Bayes Theorem

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