Abstract Traditional Chinese Medicine (TCM) is now widely used in the world. The active ingredients in raw materials of TCM are different from batch-to-batch or area-to-area. Thus, how to control the quality of TCM has become an important issue. In this thesis, we propose a statistical quality control (QC) method for TCM materials. The idea is to construct a β-γtolerance interval for TCM materials under a nested design. If the constructedβ-γtolerance interval lying in a prespecified QC limit, then we can claim that the raw materials have passed the QC test. Statistical methods for estimating the sample size and a simulation example are also studied in this thesis.