To determine which confidence interval is wider, we can compare the widths of the two intervals given:
-
For the 95% confidence interval:
- Lower bound: \( 0.156 \)
- Upper bound: \( 0.3249 \)
- Width: \( 0.3249 - 0.156 = 0.1689 \)
-
For the 99% confidence interval:
- Lower bound: \( 0.130 \)
- Upper bound: \( 0.35 \)
- Width: \( 0.35 - 0.130 = 0.22 \)
Now comparing the widths:
- 95% confidence interval width = \( 0.1689 \)
- 99% confidence interval width = \( 0.22 \)
Since \( 0.22 > 0.1689 \), the 99% confidence interval is wider than the 95% confidence interval.
Answer to the second question:
Generally, yes, higher confidence levels (e.g., increasing from 95% to 99%) will result in wider confidence intervals. This is because higher confidence levels require a larger margin of error to account for variability, thereby leading to a wider interval to ensure the estimated range contains the population parameter with the specified level of confidence.