The formula for the margin of error (E) for a 95% confidence interval is:
E = 1.96 * (σ / sqrt(n))
where σ is the population standard deviation, n is the sample size, and 1.96 is the z-score corresponding to a 95% confidence level.
Substituting the given values, we get:
E = 1.96 * (48 / sqrt(60))
E ≈ 12.524 (rounded to three decimal places)
Therefore, the margin of error for a 95% confidence interval for the population mean (μ) is approximately 12.524. This means that we can be 95% confident that the true population mean falls within the interval (sample mean - 12.524, sample mean + 12.524).