When estimating a population mean or constructing a confidence interval based on the central limit theorem:

Confidence intervals for a population mean based on a sample are constructed by multiplying the standard error of a point estimate by a reliability factor, and adding this value to, and subtracting it from, the point estimate. Thus, the point estimate is the midpoint of the confidence interval. The probability that the actual value of the parameter is within a confidence interval is the degree of confidence, which equals one minus the degree of significance. Degrees of confidence or significance apply to confidence intervals but not to point estimates.