Since the sample size (n) is ≥ 30, we will assume the data to be normally distributed.
Here, n = 169, σ (standard deviation) = 4.7, and the mean, xbar = 61.6 decibels
First, we need to calculate the error,E, which is given by:
E = zσ/√n, where z is the critical value obtained from the z table for 95% level of confidence.
From the z table, z (0.95) = 1.96
Thus, E = (1.96*4.7)/√169
E = 0.7086
The true mean lies in the interval xbar - E<μ<xbar + E
61.6-0.7086<μ<61.6+0.7086 at 95% confidence level
60.8914<μ<62.3086 OR 60.9<μ<62.3
Thus, there is a 95% chance that the true mean (population) noise level in the hospital ward areas lies in the interval 60.9 to 62.3 decibels.