Questions: In order to efficiently bid on a contract, a contractor wants to be 95% confident that his error is less than two hours in estimating the average time it takes to install tile flooring. Previous contracts indicate that the population standard deviation is 4.5 hours. How large a sample must be selected? A. 5 B. 4 C. 19 D. 20

In order to efficiently bid on a contract, a contractor wants to be 95% confident that his error is less than two hours in estimating the average time it takes to install tile flooring. Previous contracts indicate that the population standard deviation is 4.5 hours. How large a sample must be selected?
A. 5
B. 4
C. 19
D. 20
Transcript text: In order to efficiently bid on a contract, a contractor wants to be $95 \%$ confident that his error is less than two hours in estimating the average time it takes to install tile flooring. Previous contracts indicate that the population standard deviation is 4.5 hours. How large a sample must be selected? A. 5 B. 4 C. 19 D. 20
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Solution

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Solution Steps

Step 1: Determine the Z-Score

To find the Z-score corresponding to a \(95\%\) confidence level, we use the formula:

\[ Z = \text{PPF}\left(1 - \frac{1 - 0.95}{2}\right) = \text{PPF}(0.975) = 1.96 \]

Step 2: Calculate the Sample Size

The formula for calculating the required sample size \(n\) is given by:

\[ n = \left(\frac{Z \cdot \sigma}{\text{Margin of Error}}\right)^2 \]

Substituting the known values:

  • \(Z = 1.96\)
  • \(\sigma = 4.5\)
  • \(\text{Margin of Error} = 2\)

We have:

\[ n = \left(\frac{1.96 \cdot 4.5}{2}\right)^2 = \left(\frac{8.82}{2}\right)^2 = (4.41)^2 = 19.4481 \approx 20.0 \]

Final Answer

The required sample size is \\(\boxed{20}\\).

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