If you have a sample with 20 observations, and a model whose likelihood, given that sample, was (1/2)20, which uniformly-distributed real-world phenomenon is the model representing?
a |
Flipping a fair coin 20 times. |
b |
Rolling a fair die 20 times. |
c |
Opening a calendar to a random month 20 times. |
d |
Spinning a French roulette wheel 20 times. |
Answer: a. Flipping a fair coin 20 times.
Explanation:
Here, Flipping a fair coin has 2 outcomes which will give probability of each outcome (1/2).
Rolling a fair die has 6 outcomes and it will give probability of each outcome=(1/6).
Opening a calendar to a random month will have 12 outcomes (Jan,Feb,Mar,Apr,May,......,Dec). Probability of each outcome is (1/12).
Spinning a French roulette has 37 outcomes. Outcomes are numbers from 0 to 36. Probability of each outcome is (1/37).
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