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Suppose we want to estimate the average weight of men in the United States within 10 pounds. The standard deviation (\(\sigma\)) is known to be 20 pounds. If we want to be 90% confident in our estimate, how large a sample size is required?

A. 50
B. 96
C. 100
D. 169

Answer :

Final answer:

To estimate the average weight of men in the United States within 10 pounds with a 90% confidence level, a sample size of 54 is required.

Explanation:

To estimate the average weight of men in the United States within 10 pounds with a 90% confidence level, we can use the formula:

Sample size = (Z * σ / E)²

where Z is the z-score, σ is the standard deviation, and E is the margin of error (10 pounds).

Using the standard normal distribution table, the z-score for a 90% confidence level is approximately 1.645. Substituting the values into the formula:

Sample size = (1.645 * 20 / 10)² = 54.05225 ~ 54

Therefore, a sample size of 54 is required. None of the given options (a, b, c, or d) matches the correct answer.

Learn more about Sample Size Estimation here:

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