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#1
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Hi,
In reviewing some of the lectures, I have a question about Lecture 2 (slide 14; ~ 47 minute mark), "Coin analogy", how was 63% arrived at as the answer to the second question: If you toss 1000 fair coins 10 times each, what is the probability that some coin will get 10 heads? Thanks, Paul |
#2
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![]() Quote:
![]() Therefore, for each coin, the probability of not getting 10 heads is 1 minus that, approximately 0.999 The probability that none of the 1000 coins gets 10 heads is that to the power 1000, and we approximate ![]() ![]() ![]() ![]() Finally, the probability that at least one coin will get 10 heads is one minus that, which is ![]() PS: You can quote any part of the video lecture by using the lecture tags, in this case [lecture2] tag, as explained in the sticky thread about including a video segment.
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Where everyone thinks alike, no one thinks very much |
#3
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Thanks Prof. Yaser and also for reminding me to use the post tags!
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