Confidence intervals are always close to their true population values.

Confidence intervals vary from one sample to the next.

The key to constructing confidence intervals is to understand what kind of dissimilarity we should expect to see in various samples from the same population.

None of the above statements are false.

Answer: a

How does a 90% confidence interval compare to a 95% confidence interval?

Fewer of the samples will result in intervals that contain the true population value in the 90% case.

Fewer of the samples will result in incorrect intervals in the 90% case.

With the 90% confidence interval you are less willing to take a chance on missing the true value.

All of the above.

Answer: a

A(n) _______________ is an interval of values computed from the sample data that is almost sure to cover the true population number.