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农业、生物的試驗中,几个处理或品种之間进行比较时,往往用变异量分析法进行分析。过去,在进行几个平均数比較的显著性測验时,主要用t測驗法。但在这种几个平均数比較的显著性測驗中用t測验法,对有些平均数差数的显著性有估計过高的可能性。因为t測驗只适合于两个样本平均数的比較。在一个多于两个个体数的样本內,随机抽取两个个体时,它們之間的差数,以平均而論,总是要比这样本內的最大值与最小值的差数小酝谠囼炛杏姓庵智榭?在几个平均数之間相互比較肘,得到的t值是显著的,而事实上差异并不显著。因此,近年来在变异量分析中,在几个平均数
In agricultural and biological experiments, when comparing several treatments or varieties, it is often analyzed by the method of variation analysis. In the past, the t-test was mainly used when performing significance tests of several means of comparison. However, using the t-test in this test of significance for several means of comparison, there is a possibility of overestimation of the significance of some differences in the mean. Because the t test is only suitable for the comparison of the average of two samples. In a sample of more than two individuals, when two individuals are randomly drawn, the difference between them, on average, is always less than the difference between the maximum and minimum values in the sample In the comparison of several averages, the t value obtained is significant, and in fact the difference is insignificant. Therefore, in recent years in the analysis of variance, in a few averages