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Citation: Xinyue Zhao, Min Wang. Teaching Differentiation of t-Test for Grouped Data in Analytical Chemistry: A Case Study of Chloride Concentration in Surface vs. Bottom Lake Water[J]. University Chemistry, ;2026, 41(3): 227-232. doi: 10.12461/PKU.DXHX202511022 shu

Teaching Differentiation of t-Test for Grouped Data in Analytical Chemistry: A Case Study of Chloride Concentration in Surface vs. Bottom Lake Water

Xinyue Zhao ¹ ,
Min Wang ^2,,

1.
Chu Kochen Honors College, Zhejiang University, Hangzhou 310058, China;
2.
Department of Chemistry, Zhejiang University, Hangzhou 310058, China

Corresponding author: Min Wang, minwang@zju.edu.cn
Received Date: 3 November 2025
Accepted Date: 19 December 2025

Hypothesis testing serves as a fundamental component in analytical chemistry education for developing students' data processing skills and statistical reasoning. However, current textbooks predominantly emphasize independent two-sample t-tests while providing inadequate systematic coverage of paired t-tests. This pedagogical gap often leads to students' inappropriate application of statistical methods when analyzing grouped data, ultimately affecting their judgment of analytical result reliability. Using the classic environmental analysis case of comparing chloride concentrations between surface and bottom lake water, this study systematically contrasts the principles, application conditions, and computational procedures of independent versus paired t-tests. By clarifying their fundamental statistical differences and selection criteria, we aim to address this common deficiency in teaching materials. The case study facilitates students' accurate understanding and proper differentiation of these test applications while strengthening their scientific decision-making skills. This teaching resource can be effectively incorporated into classroom instruction, supplementary materials, or laboratory preparation to support subsequent specialized study and research training.
- Paired t-test,
- Two-sample t-test,
- Significant test,
- Grouped data analysis
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