## 01-22 Probability Review Pt 3 Solution

• 0:00 - 0:04
We can compute this using the formula for conditional probability.
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In this case what A is is the probability the coin toss is valid.
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A is valid, and we know that the probability of A is equal to 0.99998.
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What B is is the probability that it's heads.
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So the probability of B is the probability of H, which is 0.49999.
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Now we just have to plug these into the formula.
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But what we need to use the formula is the probability of A intersect B.
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And what A is the probability of A intersect B. What A is is valid.
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• 0:46 - 0:52
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We know the probability of tails is 0.49999.
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That means using the formula we have the probability of tails, which is 0.49999,
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which is the probability of A intersect B.
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We're dividing that by the probability of A,
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which is a valid event which is 0.99998.
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We get 0.5.
• 1:20 - 1:23
I should note that this is not the case for real coin tosses.
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There is no physical coin ever manufactured that has exactly
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chances of landing on both sides.
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In fact, with real coin tosses, at least with American currency,
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there is a much higher percentage--much higher meaning close to 51%
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rather than 50%--that the coin lands on the same side that it started on.
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When we talk about mathematical coin tosses,
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we're going to assume that there is no edge case
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and that it's equally likely
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that we have a uniform distribution and there are only 2 outcomes.
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When we talk about mathematical coin tosses,
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we're going to assume that we have a uniform distribution,
• 1:58 -
and there are only two outcomes.
Title:
01-22 Probability Review Pt 3 Solution
Description:

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Team:
Udacity
Project:
CS387 - Applied Cryptography
Duration:
02:01