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Instructor: Hello everyone,
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in this video, we are going to introduce
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a very useful concept in probability, the additive law.
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Recall when we introduced the concept
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of unions earlier in the course.
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We said that the union of two events, A and B,
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is equal to their sum minus their intersection.
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The additive law states something very similar.
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The probability of the union of two sets
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is equal to the sum of the individual probabilities
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of each event minus the probability of their intersection.
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Let's go back to the survey from the last lecture.
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The union of women and vegetarians equal the sum
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of probabilities of being a woman and being a vegetarian
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minus the probability of being a vegetarian woman.
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Numerically, this equals 0.47 plus 0.44 minus 0.15, or 0.76.
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Thus, if we picked a random person
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from the survey there is a 76% chance
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they're either female, vegetarian, or both.
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Now, look at a different example.
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Suppose we know 38% of our colleagues
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can proficiently use Tableau and 45% are experts in SQL.
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Additionally, 66% of the people
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in the office are good with at least one of the two.
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What is the probability of somebody being able
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to simultaneously implement SQL and Tableau?
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To answer this, we can rearrange
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the additive law to get the intersection
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of Tableau and SQL users equals the sum
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of SQL and Tableau users minus their union.
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Plugging in the values we are given results
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in 38% plus 45% minus 66%, or 17%.
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Transforming this into a probability gives us
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a likelihood of 0.17 for somebody in the office
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to be able to proficiently implement SQL and Tableau.
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Certain events require the usage
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of a new concept called the multiplication rule.
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In the next lecture, we are going
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to discuss when and how we apply it, thanks for watching.
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