Questions: Homework Section 6.6 Question 5.6.6.19 In a survey of 1014 people, 729 people said they voted in a recent presidential election. Within reasonable doubt, what is the probability that among 1014 randomly selected voters, at least 729 actually did vote? (a) P(X ≥ 729) = □ (Round to four decimal places as needed.)

Homework Section 6.6

Question 5.6.6.19

In a survey of 1014 people, 729 people said they voted in a recent presidential election. Within reasonable doubt, what is the probability that among 1014 randomly selected voters, at least 729 actually did vote?

(a) P(X ≥ 729) = □ (Round to four decimal places as needed.)
Transcript text: Homework Section 6.6 Question 5.6.6.19 In a survey of 1014 people, 729 people said they voted in a recent presidential election. Within reasonable doubt, what is the probability that among 1014 randomly selected voters, at least 729 actually did vote? (a) P(X ≥ 729) = □ (Round to four decimal places as needed.)
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Solution

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Solution Steps

Step 1: Define the Problem

We are tasked with finding the probability that among 1014 randomly selected voters, at least 729 actually voted. This can be expressed mathematically as \( P(X \geq 729) \), where \( X \) follows a binomial distribution with parameters \( n = 1014 \) and \( p = \frac{729}{1014} \).

Step 2: Calculate the Probability of Exactly 729 Successes

Using the binomial probability formula:

\[ P(X = x) = \binom{n}{x} \cdot p^x \cdot q^{n-x} \]

we find that:

\[ P(X = 729) = 0.0279 \]

Step 3: Calculate the Mean, Variance, and Standard Deviation

The mean \( \mu \), variance \( \sigma^2 \), and standard deviation \( \sigma \) of the binomial distribution are calculated as follows:

\[ \mu = n \cdot p = 729.0 \]

\[ \sigma^2 = n \cdot p \cdot q = 204.8964 \]

\[ \sigma = \sqrt{npq} = 14.3142 \]

Step 4: Use Normal Approximation to Calculate \( P(X \geq 729) \)

To find \( P(X \geq 729) \), we can use the normal approximation. First, we calculate the z-score for \( x = 729 \):

\[ z = \frac{x - \mu}{\sigma} = \frac{729 - 729}{14.3142} = 0 \]

Using the standard normal distribution, we find:

\[ P(X \geq 729) = 1 - P(Z < 0) = 1 - 0.5 = 0.5000 \]

Final Answer

The probability that among 1014 randomly selected voters, at least 729 actually voted is:

\[ \boxed{P(X \geq 729) \approx 0.5000} \]

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