A tolerance interval contains at least a specified proportion of the population. It is an interval estimate for a specified proportion of the population. Complete discussions of tolerance intervals are found in Meeker et al. (2017) and in Tamhane and Dunlop (2000).
When you select the Tolerance Interval option for a variable, the Tolerance Intervals window appears. Use the window to specify the confidence level, the proportion to cover, a one-sided or two-sided limit, and the method. The two available methods are Assume Normal Distribution and Nonparametric. The Assume Normal Distribution option computes tolerance intervals that are based on the assumption that the sample was randomly selected from a normal distribution. The Nonparametric option computes distribution-free tolerance intervals.
Note: When you specify the Assume Normal Distribution option, the value of k used for the intervals is contained in the report table. To view the value, in the Tolerance Intervals report, right-click the table and select Columns > K-factor.
• For statistical details, see Tolerance Intervals.
• For an example, see Example of Tolerance Intervals.