Analysis and research on relevant evaluation system indicators by one-way analysis of variance based on least significant difference

Abstract

Analysis of variance is used to test the significance of the difference between the means of two or more samples, but due to the influence of uncontrollable random factors and controllable factors imposed on the results in the study, the data obtained in the study presents a fluctuating state. In this paper, the single factor analysis of variance in the least significant difference method is used to analyze the aroma components of the collected Hubei Qingzhuan tea and Yunnan Pu'er tea, and the T test is used to complete the paired comparison between each group, which improves the sensitivity of the test and makes each level It is also possible to detect the slight difference in the mean value among them, which provides a new way of thinking for the scientific and reasonable evaluation index system.