University Chemistry ›› 2023, Vol. 38 ›› Issue (5): 296-301.doi: 10.3866/PKU.DXHX202203069
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Jiawei Shen, Min Wang()
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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
Jiawei Shen, Min Wang. Discussion on t Test in Analytical Chemistry Textbooks[J].University Chemistry, 2023, 38(5): 296-301.
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URL: https://www.dxhx.pku.edu.cn/EN/10.3866/PKU.DXHX202203069
https://www.dxhx.pku.edu.cn/EN/Y2023/V38/I5/296
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