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Citation: Jiawei Shen, Min Wang. Discussion on t Test in Analytical Chemistry Textbooks[J]. University Chemistry, ;2023, 38(5): 296-301. doi: 10.3866/PKU.DXHX202203069 shu

Discussion on t Test in Analytical Chemistry Textbooks

Jiawei Shen ,
Min Wang ^,

Department of Chemistry, Zhejiang University, Hangzhou 310058, China

Corresponding author: Min Wang, minwang@zju.edu.cn
Received Date: 28 March 2022

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.
- Paired t test,
- t test,
- Significant test,
- Data evaluation,
- Textbook construction
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