In

**statistics**, a**confidence**interval (CI) is a type of interval estimate, computed from the**statistics**of the observed data, that might contain the true value of an unknown population parameter. Most commonly, the 95%**confidence**level is used.In this manner, what does the 95% confidence interval tell us?

A

**confidence interval does**not quantify variability. A**95**%**confidence interval**is a range of values that you can be**95**% certain contains the true mean of the population. This is not the same as a range that contains**95**% of the values.What is the meaning of confidence level in statistics?

A

**confidence level**refers to the percentage of all possible samples that can be expected to include the true population parameter. For example, suppose all possible samples were selected from the same population, and a**confidence interval**were computed for each sample.What is a 95% confidence limit?

**Confidence limits**are the numbers at the upper and lower end of a

**confidence interval**; for example, if your mean is 7.4 with

**confidence limits**of 5.4 and 9.4, your

**confidence interval**is 5.4 to 9.4. Most people use

**95**%

**confidence limits**, although you could use other values.