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第二、三讲主要介绍了数量性状变异资料的统计分析方法。在生物学及农业科学研究中,还会遇到另一类不同性质的资料.即质量性状的资料。例如,种子发芽试验中,计算发芽和不发芽的种子数。在这里,发芽与不发芽之间是质的不同,而不是量的差异。这类资料表现出两个特点:(1)是互斥事件。如同一粒种子,若属可发芽的就不可能是不能发芽的;(2)资料是计数的,因而属非连续变异资料。质量性状资料的统计方法有二项式分布的常态接近法和x~2(卡方)检验法。而以后者比较
The second and third lectures mainly introduce the statistical analysis methods of quantitative trait variation data. In biology and agricultural sciences, there is another type of data that is different in nature, ie, information on the quality traits. For example, in the seed germination test, the number of germinated and non-germinated seeds was calculated. Here, between germination and non-germination is a qualitative difference, not a difference in quantity. Such information shows two characteristics: (1) is a mutually exclusive event. Like a seed, it can not germinate if it can germinate; (2) The data is counted and therefore belongs to the data of non-continuous variation. The statistical methods for quality trait data are the normalized approximation of binomial distribution and x ~ 2 (chi-square) test. The latter comparison