A) The probability that you are likely to have a specific disease, without any knowledge of your test results.
B) The proportion of people who correctly test positive when they actually have the disease.
C) The proportion of people who correctly test negative when they don't have the disease.
D) All of the above.
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Multiple Choice
A) 2, 10, 23, 27, 30, 11
B) 1, 2, 3, 4, 5, 6
C) 11, 19, 14, 12, 17, 15
D) All of the above are equally unlikely.
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Multiple Choice
A) You have the disease but the test results were negative.
B) You don't have the disease but the test results were positive.
C) You test positive for a different disease than the one they thought you had.
D) None of the above.
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Multiple Choice
A) 4
B) 23
C) 183
D) 2,300 or more
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Multiple Choice
A) Random events are self-correcting.(For example if you are losing, believing that your luck is about to turn around.)
B) The long-run frequency of an event should apply in the short term as well.(For example, "He's a 90% free throw shooter, and he's already missed 2 out of 3 tonight.There's no way he's going to miss this next one.")
C) Knowledge of one event will help predict the next event, even though the events are independent.(For example, you may hear someone at the craps table saying to the person rolling the dice, "You're on a roll! Don't stop now!")
D) All of the above.
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Multiple Choice
A) When the events are not independent.
B) When knowledge of one outcome affects the probability of the next one.
C) Both a) and b) .
D) Neither a) nor b) ; the gambler's fallacy holds whenever gambling is going on.That's how casinos stay in business.
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Multiple Choice
A) My next-door neighbor won the lottery! I was only one house away from becoming rich!
B) Wow, what are the chances that I'd be on the same flight as Bill Cosby? Unbelievable!
C) I heard there's a guy in Pennsylvania who won the lottery twice; that lottery must be rigged.
D) None of the above.
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