What is cl in measurement?

CL, or Confidence Level, is a statistical term that refers to the probability that a parameter falls within a certain range. It is often used in hypothesis testing and interval estimation to express the level of certainty or reliability in the results.

For example, a 95% confidence level means that there is a 95% probability that the true parameter falls within the estimated range. In other words, if the experiment were repeated multiple times, 95% of the intervals constructed would contain the true parameter.

The confidence level is often represented as a percentage, with common values including 90%, 95%, and 99%. The higher the confidence level, the wider the interval will be, as there is greater certainty required to include the true parameter.

It is important to note that the confidence level does not guarantee that the parameter falls within the interval, but rather gives an indication of the likelihood based on the data and assumptions used in the analysis.