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Probability · Lecture 3 of 76 · 8:42

Geniuses and Chocolates

Geniuses and Chocolates on YouTube

Study guide

What this lecture covers

This recitation problem practices the properties of probability laws that follow from the axioms, such as P(A ∪ B) = P(A) + P(B) - P(A ∩ B). Given that 60% of a class are geniuses, 70% love chocolate, and 40% are both, the task is to find the probability that a randomly chosen student is neither.

Instead of plugging into the union formula directly, the video works the problem visually, using a Venn diagram cut into a partition of disjoint regions and building up from there.

Key ideas

  • Venn diagrams: a useful tool for visualizing how overlapping events and their probabilities relate to each other.
  • Partitions: cutting the sample space into disjoint pieces that together cover everything, which makes it possible to add their probabilities.
  • Reading off regions: the diagram is split into four labeled regions — neither event, only "genius," only "chocolate lover," and both.
  • Working from known unions: P(genius) = P(only genius) + P(both) and similarly for chocolate lovers, letting you solve for the unknown regions by simple algebra.
  • Using the normalization axiom: since all four regions must sum to 1, the last unknown region (neither event) is found by subtraction.

Before you watch

  • Know the axioms of probability and the idea of disjoint events, from the first lecture in this course.
  • Some familiarity with Venn diagrams is helpful but not required.

Check your understanding

  1. Why must the four regions in the Venn diagram (neither, only genius, only chocolate lover, both) be disjoint before you can add their probabilities?
  2. How is P(genius) expressed in terms of the "only genius" and "both" regions, and why?
  3. Once you know the probabilities of three of the four regions, how do you find the fourth?
  4. How would the answer change if geniuses and chocolate lovers were completely disjoint (0% overlap)?

Chapters

From the YouTube description

MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
View the complete course: http://ocw.mit.edu/6-041SCF13
Instructor: Katie Szeto

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

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