Answer:
0.9
Explanation:
His sample had a mean thickness of 148 microns and a standard deviation of 3.3 microns with a 95% confidence interval for the mean thickness.
Solution:
The z score shows by how many standard deviations the raw score is above or below the mean.
Given that:
The mean (μ) = 148 microns, standard deviation (σ) = 3.3 microns, sample size (n) = 50 and confidence interval (C) = 95%
α = 1 - C = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025
The z score of α/2 is the same as the z score of 0.475 (1 - 0.025) which is equal to 1.96
The margin of error (E) is given by:
![E=z_{(\alpha)/(2) }*(\sigma)/(√(n) ) \\\\E=1.96*(3.3)/(√(50) ) \\\\E=0.9\ microns](https://img.qammunity.org/2022/formulas/mathematics/high-school/iozkj92jecvawt859ovr9gdoh4rljifgtg.png)