University Chemistry ›› 2023, Vol. 38 ›› Issue (5): 296-301.doi: 10.3866/PKU.DXHX202203069

Special Issue:

• Self Studies • Previous Articles     Next Articles

Discussion on t Test in Analytical Chemistry Textbooks

Jiawei Shen, Min Wang()   

  • Received:2022-03-28 Accepted:2022-05-06 Published:2022-05-18
  • Contact: Min Wang E-mail:minwang@zju.edu.cn

Abstract:

t test, a significant test in statistics, shows wide applicability, and plays essential roles in method validation, data evaluation, and quality control. For example, you can compare the mean of a data set with a known value to see if there is a bias in a method. For comparison of two data sets, you need to first make a distinction between unpaired data and paired data. However, in our analytical chemistry textbooks, only unpaired t test is briefly introduced. In contrast, through various examples, both paired t test and unpaired t test are comprehensively introduced in English analytical chemistry textbooks. It is suggested that more systematic statistical contents be integrated into our analytical chemistry teaching. It should be a beneficial attempt for more scientific textbook construction.

Key words: Paired t test, t test, Significant test, Data evaluation, Textbook construction