Which interpretation of a 95 percent confidence interval is statistically correct?
Correct answer: B. About 95 percent of similarly constructed intervals contain the fixed parameter
- A. There is a 95 percent probability that the fixed parameter lies in this calculated interval
- B. About 95 percent of similarly constructed intervals contain the fixed parameter
- C. Exactly 95 percent of population values lie inside the calculated interval
- D. The sample statistic has a 95 percent probability of equalling the parameter
Explanation
In repeated sampling, about 95 percent of intervals constructed by the same method contain the fixed population parameter. The parameter is treated as fixed, so probability is attached to the procedure rather than to one completed interval.
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