Final answer:
The 95% confidence interval for the average number of hours of sleep amongst the surveyed adults is between 7.33 and 7.67 hours.
Step-by-step explanation:
To determine the 95% confidence interval for the mean number of hours of sleep among 324 adults surveyed, with a mean of 7.5 hours of sleep, a standard deviation of 1.6 hours, and a given margin of error of approximately 0.17, we use the formula for a confidence interval which is: mean ± margin of error. Here, the margin of error is provided; thus, we do not need to calculate it using the standard error and the z-score for the 95% confidence level. The confidence interval is thus calculated as follows: 7.5 ± 0.17.
This results in a lower bound of 7.33 hours of sleep and an upper bound of 7.67 hours of sleep, rounding to the nearest hundredth as requested. Therefore, we are 95% confident that the true mean number of hours of sleep for the population from which the sample was drawn lies between 7.33 and 7.67 hours.