Step-by-step Answer:
Mean = mu = 650
Standard deviation = sigma = 32
Sample size = 16
Therefore standard error of the given sample
standard error
= standard deviation / sqrt(N)
= standard deviation /sqrt(16)
= 32/4
= 8
For 95% confidence interval, we need the normal curve to have an area of 0.95 between the limits, which, from normal distribution tables, the Z-value of 97.5% is 1.96, which means that for a 95% confidence interval, the values are between +/- 1.96 standard deviations, or +/- 1.96*8= +/- 15.68 hours.
Thus the confidence interval is
650 - 15.68 hours < X < 650+15.68 hours
634.32 < X < 665.68 hours