Calculating Likelihood of Proposal Passage in Council Vote of 9 Members

In summary, the likelihood of the proposal passing in a council vote is 17.776%, calculated by finding the probability for each possible number of yes votes and then summing them up. This revised calculation takes into account the number of ways to choose the yes votes, making the result more accurate.
  • #1
tmt1
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In a council vote for a proposal, there a nine council members. There is a 60% chance that each council person will vote in favour of the proposal. What is then likelihood that the proposal will pass?

So, this means that 5 or greater members must vote in favour.

These are independent events, so the odds that 5 vote in favour is $0.6 * 0.6 * 0.6 * 0.6 * 0.6 = 0.07776$,
that 6 vote in favour is $0.6 * 6 = 0.046$, that 7 vote in favour is $0.6 ^ 7 = 0.0279 $, that 8 vote in favour is $0.6 ^ 8 = 0.0167$ and that 9 vote in favour is $0.01$. Add all these up and I get 0.177 percent.

So this is incorrect, how do I fix my calculation to make it correct?
 
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  • #2
For each particular number of yes votes, let's say there are $k$ yes votes, and so $9-k$ no votes, we have to compute how many ways there are to choose $k$ from $9$ and then multiply that by the probability for one particular way to make that choice:

\(\displaystyle {9 \choose k}(0.6)^k(0.4)^{9-k}\)

And then, calling the event that it passes $X$, to find the probability of $X$ happening, we need to sum these up for $k=5$ to $k=9$:

\(\displaystyle P(X)=\sum_{k=5}^{9}\left({9 \choose k}(0.6)^k(0.4)^{9-k}\right)\)
 

What is the process for calculating the likelihood of proposal passage in a council vote of 9 members?

The process for calculating the likelihood of proposal passage in a council vote of 9 members involves several steps. First, you must gather data on the individual voting tendencies and preferences of each council member. This can be done through previous voting records, public statements, and interviews. Next, you will need to assess the political climate and any potential external factors that may influence the vote. Finally, you can use statistical analysis and probability calculations to determine the likelihood of the proposal passing based on the gathered data.

What factors should be considered when assessing the likelihood of proposal passage in a council vote of 9 members?

There are several factors that should be considered when assessing the likelihood of proposal passage in a council vote of 9 members. These include the individual voting tendencies and preferences of each council member, the political climate and any external influences, and the specific details and potential impact of the proposal itself. Additionally, historical voting patterns and precedents within the council should also be taken into account.

Can mathematical models be used to accurately predict the likelihood of proposal passage in a council vote of 9 members?

Yes, mathematical models can be used to accurately predict the likelihood of proposal passage in a council vote of 9 members. These models use statistical analysis and probability calculations based on gathered data to determine the probability of the proposal passing. However, it is important to note that these models are not foolproof and cannot account for unforeseen circumstances or changes in the political climate.

How can the likelihood of proposal passage be communicated to stakeholders and decision makers?

The likelihood of proposal passage can be communicated to stakeholders and decision makers through clear and transparent reporting of the data and analysis used to determine the probability. This can include visual aids such as charts or graphs to help illustrate the findings. It is important to present the information objectively and provide context for any potential uncertainties or limitations in the predictions.

What are some potential limitations or challenges in calculating the likelihood of proposal passage in a council vote of 9 members?

There are several potential limitations or challenges in calculating the likelihood of proposal passage in a council vote of 9 members. These can include incomplete or biased data, changes in the political climate or external factors, and the unpredictability of individual council members' decisions. Additionally, mathematical models may not account for all possible scenarios and may not accurately predict the outcome in every case.

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