Select True or False from each pull-down menu, depending on whether the corresponding statement is true or false.
1. A confidence interval is an interval estimate for which
there is a specified degree of certainty that the actual
value of the population parameter will fall within the interval.
2. An interval estimate is an estimate of the range for a
sample statistic.
3. Knowing that an estimator is unbiased only assures
us that its expected value equals the parameter, but
it does not tell us how closely the estimator is to
the parameter.
4. An unbiased estimator is said to be consistent if the
difference between the estimator and the parameter grows
smaller as the sample size grows larger.
In order to get credit for this problem all answers must be correct.