Final answer:
For the employees, the confidence interval is approximately 0.214 to 0.306.
Step-by-step explanation:
To calculate the confidence interval for the proportions, we can use the formula:
CI = p ± Z * √((p * (1 - p)) / n)
Where:
- CI is the confidence interval
- p is the sample proportion
- Z is the z-score corresponding to the desired confidence level (2.575 for 99% confidence)
- n is the sample size
For the employers, the sample proportion is 0.45 and the sample size is 50. Substituting these values into the formula, we get:
CI = 0.45 ± (2.575) * √((0.45 * (1 - 0.45)) / 50)
Calculating this gives us a confidence interval of approximately 0.324 to 0.576.
Similarly, for the employees, the sample proportion is 0.26 and the sample size is 200. Substituting these values into the formula, we get:
CI = 0.26 ± (2.575) * √((0.26 * (1 - 0.26)) / 200)
Calculating this gives us a confidence interval of approximately 0.214 to 0.306.