Final answer:
Option A.
The range of values statisticians call related to a certain test set or question is known as confidence intervals, which provide a range expected to contain the true value of a population parameter based on sample data.
Step-by-step explanation:
The range of values related to a certain test set or question that statisticians call is confidence intervals.
A confidence interval is an estimated range of values which is likely to include an unknown population parameter, the estimated range being calculated from a given set of sample data.
It is defined as (point estimate − margin of error, point estimate + margin of error).
The margin of error depends on the selected confidence level and the standard error.
Speaking in general terms to someone unfamiliar with statistics, a confidence interval provides a range within which we are fairly sure our true value lies.
For instance, a 95 percent confidence interval is wider than a 90 percent interval because it considers more of the distribution, offering higher confidence that the interval includes the true parameter.
When analyzing data, if a 90 percent confidence interval is constructed, this does not mean it contains 90 percent of the data points, but rather that we are 90 percent confident that the true population parameter is within this interval.
Changes in the sample size or confidence level can affect the width of the confidence interval.