Final answer:
The confidence interval accounts for sampling error and non-response bias, but not for response bias.
Step-by-step explanation:
The confidence interval accounts for sampling error, which is the natural variability in sample percentages from sample to sample. This means that the confidence interval takes into consideration that the proportion of engaged employees may vary slightly in different samples. Non-response bias is also accounted for, as the employees who did not respond are considered in the confidence interval. However, response bias, which refers to employees lying or giving responses they think their supervisors want to hear, is not directly accounted for in the confidence interval.