STAT110: Fall 2020
  • Welcome!
  • FAQ
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  • Section 1
    • Questions
  • Section 2
    • Questions
  • Section 3
    • Questions
  • Section 4
    • Questions
  • Section 5
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  • Section 6
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  • Section 7
    • Questions
  • Section 8
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  • Section 9
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  • Section 10
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  • Recruiting
  • Russian Roulette
  • Independence

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  1. Section 2

Questions

Recruiting

Suppose the Harvard Consulting, Investment, and Tech Group (HCITG) currently consists of two freshmen and some number of upperclassmen. A new student joins the group, but she forgot to indicate what year she was in! At the next club meeting, a recruiter from Bayes Inc. comes in and plucks a lucky student to join their ranks.

Given that the student is a freshman, what is the probability that the student that just joined was a freshman? Suppose that freshmen and upperclassmen are equally likely to join HCITG.

Let there be uuu upperclassmen in the group, AAA be the event that the new student was a freshman, and BBB be the probability that the selected student was the freshman. We are clearly interested in P(A∣B)=P(B∣A)P(A)P(B)P(A|B) = \frac{P(B|A)P(A)}{P(B)}P(A∣B)=P(B)P(B∣A)P(A)​ Here, P(B∣A)=33+uP(B|A) = \frac{3}{3+u}P(B∣A)=3+u3​, as we are conditioning that a freshman joined the group. Next, we can calculate P(B)P(B)P(B) using LOTP.

P(B)=P(B∣A)P(A)+P(B∣Ac)P(Ac)=12⋅33+u+12⋅23+uP(B) = P(B|A)P(A) + P\left(B|A^c\right)P\left(A^c\right) = \frac{1}{2}\cdot\frac{3}{3+u} + \frac{1}{2}\cdot \frac{2}{3+u}P(B)=P(B∣A)P(A)+P(B∣Ac)P(Ac)=21​⋅3+u3​+21​⋅3+u2​

Plugging everything in, we find that P(A∣B)=35P(A|B) = \frac{3}{5}P(A∣B)=53​.

Russian Roulette

In a game of Russian Roulette, you find a revolver with six chambers containing two real bullets side-by-side and four empty chambers. You spin the chamber and point the gun at yourself... Click. No bullet.

It is your turn again, but do you want to spin the barrel again or just pull the trigger?

The probability that you are shot if you spin the barrel again is simply 13\frac{1}{3}31​, as there are still two bullets and four empty chambers. To calculate the probability of being shot if the interviewer pulls the trigger right away, we can use conditional probability! Let BBB be the event that the previous shot was not a bullet, and let AAA be the event that the next adjacent shot in the chamber is a bullet. We know that P(B)=23P(B) = \frac{2}{3}P(B)=32​ and P(A∩B)=16P(A \cap B) = \frac{1}{6}P(A∩B)=61​, as there is only one way for the previous shot to not be a bullet while the next shot is a bullet. Therefore,

P(A∣B)=P(A∩B)P(B)=14P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{1}{4}P(A∣B)=P(B)P(A∩B)​=41​

So you're better off taking the next shot without spinning the chamber!

Independence

Strategic practice problems to test your understanding of independence.

Is it possible for an event to be independent of itself?

Let AAA be an event. If AAA is independent of itself, then P(A)=P(A∩A)=P(A)2,P(A)=P(A \cap A)=P(A)^{2},P(A)=P(A∩A)=P(A)2, so P(A)P(A)P(A) must be either 0 or 1 . So this is only possible in the extreme cases that the event has constant probability 0 or 1 .

Is it always true that if AAA and BBB are independent events, then AcA^{c}Ac and BcB^{c}Bc are independent events? Show that it is, or give a counterexample.

Yes, because we have

P(Ac∩Bc)=1−P(A∪B)=1−(P(A)+P(B)−P(A∩B))P\left(A^{c} \cap B^{c}\right)=1-P(A \cup B)=1-(P(A)+P(B)-P(A \cap B))P(Ac∩Bc)=1−P(A∪B)=1−(P(A)+P(B)−P(A∩B))

and since AAA and BBB are independent,

1−P(A)−P(B)+P(A)P(B)=(1−P(A))(1−P(B))=P(Ac)P(Bc)1-P(A)-P(B)+P(A) P(B)=(1-P(A))(1-P(B))=P\left(A^{c}\right) P\left(B^{c}\right)1−P(A)−P(B)+P(A)P(B)=(1−P(A))(1−P(B))=P(Ac)P(Bc)
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