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在植保科研随机区组试验资料的分析过程中,一般要对原始数据进行一定的代换,如反正弦角度代换,平方根值代换或对数值代换,再用代换值做F、SSR等统计检验。有时,为了充分证实全部分析工作的有效合理性,尚需对数组做一番Bartlett方差齐性检验和Tukey可加性检验。毫无疑问,用笔或借助计算器进行这些检验时费时、费神,特别是遇到待分析资料很多的情况,例如分析一批系统调查资料,更是如此。为了使这
In the analysis of randomized block test data of plant protection research, generally some substitutions should be made to the original data, such as arc sine conversion, square root substitution or logarithm substitution, and then substitution values F and SSR Other statistical tests. Sometimes, in order to fully confirm the validity and rationality of all the analysis, we still need to do some Bartlett’s test of homogeneity of variance and Tukey’s additive test on the array. Undoubtedly, these tests are time-consuming and painstaking with pens or calculators, especially when there is a lot of information to be analyzed, such as analyzing a batch of systematic survey data. To make this happen