Suppose we run simulation experiments to estimate some network metric of interest (for example, delay). From a large number N of samples, we can calculate the average and 90% confidence interval. How should we interpret these results?

A . All the options are correct.

 

B.  If we repeat the experiment and collect additional M samples, we should expect 90% of those M samples to fall into the calculated confidence interval.

 

C. If we repeat the experiment once and measure delay, the measured value has a 0.9 probability of falling in the calculated confidence interval.

 

D. If N is large enough, we expect the collected samples to follow a Gaussian distribution.

 

E. If we calculate 90% confidence interval from independently obtained sets of N samples, we should expect 90% of those intervals to contain the true mean delay.