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In political polling, randomly selected voters are asked whether they would vote for a particular candidate. A random variable X is defined that takes a
In political polling, randomly selected voters are asked whether they would vote for a particular candidate. A random variable
X
is defined that takes a value of 1 if the answer is 'yes', and a value of 0 if the answer is 'no'. Note that
X
has a Bernoulli distribution. The variance of the Bernoulli distribution is known to be(1)
p
(
1
p
)
where=()
p
=
E
(
X
)
- is the probability that a randomly selected voter would vote for the candidate. Since the variance must be finite, if a large number of voters are surveyed independently, a central limit theorem dictates that the mean value of the random variables generated will be approximately normally distributed.Suppose you have been commissioned to conduct a poll to determine the popularity of a candidate who is expected to attract around 50% of all votes. If your client has requested a 90% confidence interval that is no wider than 1% (i.e. 0.01), approximately how many voters will you need to survey?
- Suppose instead that the candidate of interest is expected to attract around 10% of all votes. Would this change the number of voters that you need to survey? If so, by how much?
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