Questions: Find the sample size needed to estimate the mean age of movie patrons such that it can be said with 98% confidence that the sample mean is within 1.5 years of the population mean. Assume that σ=19.8 years, based on a previous report. Should the sample be obtained from one movie at one theater?
The required sample size is (Round up to the nearest integer.)
Transcript text: Find the sample size needed to estimate the mean age of movie patrons such that it can be said with $98 \%$ confidence that the sample mean is within 1.5 years of the population mean. Assume that $\sigma=19.8$ years, based on a previous report. Should the sample be obtained from one movie at one theater?
The required sample size is $\square$ (Round up to the nearest integer.)
Solution
Solution Steps
Step 1: Determine the Z-Score
To find the required sample size, we first need the z-score corresponding to a \(98\%\) confidence level. This is calculated as:
\[
z = z_{\alpha/2} = z_{0.01} \approx 2.3263
\]
Step 2: Apply the Sample Size Formula
The formula for the sample size \(n\) needed to estimate the mean is given by:
\[
n = \left( \frac{z \cdot \sigma}{E} \right)^2
\]
where:
\(z\) is the z-score,
\(\sigma\) is the population standard deviation,
\(E\) is the margin of error.
Substituting the known values:
\[
n = \left( \frac{2.3263 \cdot 19.8}{1.5} \right)^2
\]