Probability of a Percent given a Percent

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Discussion Overview

The discussion revolves around calculating probabilities related to voting behavior in a town, specifically focusing on how to determine the probability that a randomly selected voter belongs to a certain demographic group based on given percentages. The context includes the application of Bayes' theorem and considerations of turnout rates among different groups.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about how to approach a probability question involving percentages related to voting behavior, noting the complexity of having two different wholes: the voting population and the party percentages.
  • Another participant doubts the feasibility of calculating the probability without knowing voter turnout rates for each party, suggesting that basic assumptions about voting behavior may not be reasonable.
  • A participant presents a specific example involving the demographics of a town and the voting percentages for each group, proposing an initial calculation using the product of the probabilities of being brown-haired and voting.
  • The same participant introduces Bayes' theorem to refine their calculation, providing the necessary probabilities and a formula for determining the overall probability of voting.
  • One participant acknowledges the clarification provided by another, indicating that the explanation helped them understand the problem better.

Areas of Agreement / Disagreement

There is no consensus on the initial approach to the problem, as participants express differing views on the assumptions necessary for calculating the probabilities. The discussion remains unresolved regarding the best method to apply in this context.

Contextual Notes

Participants highlight limitations related to unknown turnout rates and the assumptions underlying voting behavior, which may affect the calculations and interpretations of probabilities.

tizpan
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I'm hoping that I can gain some insight from fellow users in how to start off a probability question when given a percent 'given that' and another percent.

For example, if an election is split into percentages of votes per party and you know the party allegiance percentages of the town, how can you devise the probability that a random townsperson voted a certain way?

There are two different wholes at play: the voting population and the amount of voting percentages within the party. I can't figure out where to start (Doh)
 
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tizpan said:
I'm hoping that I can gain some insight from fellow users in how to start off a probability question when given a percent 'given that' and another percent.

For example, if an election is split into percentages of votes per party and you know the party allegiance percentages of the town, how can you devise the probability that a random townsperson voted a certain way?

There are two different wholes at play: the voting population and the amount of voting percentages within the party. I can't figure out where to start (Doh)

I doubt that you can, first you don't know the turn-out, or the turn-out for each party as these may be different.

Also the basic assumptions on voting behaviour do not seem reasonable.

CB
 
That is where I am getting confused in starting this problem.

The details given are as follows: A certain town is made up of 38.6% brown haired people, 57.1% blondes and 4.3% redheads. In the last town mayor race, votes were cast by 43.1% of the brown haired people, 40.7% blondes, and 51.7% of redheads. If a mayoral race voter is chosen at random, what is the probability that they are a brown haired?

Instinctively, I would look at this as the P(of brown haired in the town) * P(of brown haired that voted). So, .386*.431 equaling .166366. Somehow I can't help but think that there is more that I need to consider.:confused:
 
tizpan said:
That is where I am getting confused in starting this problem.

The details given are as follows: A certain town is made up of 38.6% brown haired people, 57.1% blondes and 4.3% redheads. In the last town mayor race, votes were cast by 43.1% of the brown haired people, 40.7% blondes, and 51.7% of redheads. If a mayoral race voter is chosen at random, what is the probability that they are a brown haired?

Instinctively, I would look at this as the P(of brown haired in the town) * P(of brown haired that voted). So, .386*.431 equaling .166366. Somehow I can't help but think that there is more that I need to consider.:confused:

Bayes' theorem:

\[P(Br|V)=P(V|Br)P(Br)/P(V)\]

\(P(V|Br)=0.431\), \(P(Br)=0.386\),

\( \begin{aligned}P(V)&=P(V|Br)P(Br)+P(V|Bl)P(Bl)+P(V|R)P(R)\\&=0.431 \times 0.386+0.407 \times 0.571 + 0.517 \times 0.043 \approx 0.421 \end{aligned}\)

CB
 
That makes sense now, thank you Captain!
 

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