Which term refers to the estimated range within which a population parameter is expected to lie with a certain probability?

Which term refers to the estimated range within which a population parameter is expected to lie with a certain probability?

• A. 95% Confidence Interval
• B. Confidence Limits (Intervals)
• C. Null Hypothesis
• D. Standard Error

Answer: (B)

A confidence interval (also called confidence limits) is an estimated range around a sample statistic that is believed, with a specified probability, to contain the true population parameter. This interval is derived from the data and reflects sampling variability: if you could repeat the study many times, a certain percentage of those intervals would capture the true parameter. A common example is 95%, meaning about 95% of similarly constructed intervals would contain the parameter in repeated samples. The endpoints of this range are the lower and upper confidence limits. The standard error describes how much the estimate would vary from sample to sample, not the interval itself, and the null hypothesis is a statement about a claim to be tested rather than the range within which the parameter lies.

A confidence interval (also called confidence limits) is an estimated range around a sample statistic that is believed, with a specified probability, to contain the true population parameter. This interval is derived from the data and reflects sampling variability: if you could repeat the study many times, a certain percentage of those intervals would capture the true parameter. A common example is 95%, meaning about 95% of similarly constructed intervals would contain the parameter in repeated samples. The endpoints of this range are the lower and upper confidence limits.

The standard error describes how much the estimate would vary from sample to sample, not the interval itself, and the null hypothesis is a statement about a claim to be tested rather than the range within which the parameter lies.