Answer:
Option (a) narrower and would involve a larger risk of being incorrect.
Step-by-step explanation:
We have to compare a 95% confidence interval to a 99% confidence interval.
- For a 95% confidence interval and 99% confidence interval, confidence level is lower for 95% confidence interval.
- With a lower confidence level, there would be less margin of error.
- Thus, 95% confidence interval is narrower as compared to the 99% confidence interval.
- Since, a 95% interval is narrower there are less values included in the interval that could give right estimate for the parameter.
Thus, we can write,
Compared to a 95% confidence interval, a 99% confidence interval will be Option (a) narrower and would involve a larger risk of being incorrect.