The Confidence Interval Method for Hypothesis Testing (At the 95

Multiple Choice

The confidence interval method for hypothesis testing (at the 95% level) relies on the fact that

A) 95 percent of all sample statistics are correct.
B) the observed sample statistic is correct 95 percent of the time.
C) there is a 95 percent chance that the calculated confidence interval contains the true value of the unobserved population parameter.
D) 95 percent of all confidence intervals that could be constructed contain the true value of the unobserved population parameter.