Final answer:
The number of respondents who answered 'office' is 372.216.
The 95% confidence interval estimate for the percentage of all employees who would like to work at the office is (34.2%, 40.2%).
Based on the hypothesis test, we conclude that the majority of employees do not want to come back to the office.
Step-by-step explanation:
a) To find the number of respondents who answered 'office,' we can multiply the percentage by the total number of respondents. Therefore, the number of respondents who answered 'office' is 0.372 * 1003 = 372.216.
For constructing a confidence interval, we can use the formula: Point Estimate ± (Critical Value * Standard Error). The point estimate is 37.2% and the critical value for a 95% confidence level is 1.96.
b) To calculate the standard error, we can use the formula: sqrt((p*(1-p))/n), where p is the point estimate and n is the sample size.
Therefore, the standard error is sqrt((0.372*(1-0.372))/1003) ≈ 0.0157.
Plugging these values into the confidence interval formula, we get: 0.372 ± (1.96 * 0.0157) = (0.342, 0.402).
This means that we can be 95% confident that the true percentage of all employees who would like to work at the office falls within the range of 34.2% to 40.2%.
c) To determine if the majority of employees would like to come back to the office, we can compare the confidence interval to a threshold of 50%.
Since the lower bound of the confidence interval, 34.2%, is less than 50%, we would conclude that the majority of employees do not want to come back to the office based on this hypothesis test.