Final answer:
a. The standard error of the mean is 0.632. b. The margin of error at 95% confidence is 1.24032. This margin of error provides a measure of uncertainty associated with the sample mean estimation in statistical analysis.
Step-by-step explanation:
a. The standard error of the mean (σxˉ) is determined by the formula σxˉ = σ/√n, where σ represents the population standard deviation, and n is the sample size.
In this context, with a known population standard deviation (σ) of 4 and a sample size (n) of 40, the standard error is calculated as σxˉ = 4/√40, yielding a result of 0.632.
b. When establishing a 95% confidence interval, the margin of error is derived from the formula margin of error = critical value * standard error.
With a critical value of 1.96 for a 95% confidence level, and the previously computed standard error (σxˉ) of 0.632, the margin of error is determined as 1.96 * 0.632, resulting in a margin of error of 1.24032.
This margin of error provides a measure of uncertainty associated with the sample mean estimation in statistical analysis.
Hence, the standard error of the mean is 0.632 and the margin of error at 95% confidence is 1.24032.