Question

Precision is a statistical measure of the maximum projected difference between the sample estimate and the true but unknown population total and is directly related to:

1) reliability of evidence.
2) relative risk.
3) confidence level.
4) cost benefit analysis.

Answer 1

Precision in statistics refers to the consistency of repeated measurements, and is most closely associated with the confidence level in the statistical context. Option 3.

Step-by-step explanation:

Precision is a statistical measure of how closely repeated measurements agree with each other under the same conditions. It is not directly concerned with the closeness to the true value (which would be accuracy) but with the consistency of results. When we talk about the precision of an estimate concerning a population total, it often relates to the confidence level of the statistical measures employed.

Out of the given options, precision is most directly related to option 3) confidence level. A higher confidence level indicates a smaller margin of error and, consequently, greater precision in the statistical sense. Reliability of evidence, relative risk, and cost benefit analysis are all important concepts, but they do not directly define precision.