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四、各种平均数间差异的显著性检验根据数据资料的分布类型,可计算各种平均数,如正态或近似正态分布资料可计算其算术均数(?),对数正态分布资料可计算几何均数(G),不拘分布资料可计算中位数(M或P_(50))等。两均数间差异显著性检验,可采用t检验。多组均数间相互比较可采用方差分析。但是,在职防工作中有时为了择优处理法的需要,同一类资料可计算其(?)、G、M或WGP_(50)等,不同的平均数间(如(?)与G,G与M等)差异的显著性检验又如
Fourth, the significance test of the differences between the various averages According to the distribution of data types, you can calculate a variety of averages, such as the normal or approximate normal distribution of data can calculate the arithmetic mean (?), lognormal distribution Data can calculate the geometric mean (G), regardless of distribution data can calculate the median (M or P_ (50)) and so on. The significant test of the difference between the two means can be used t test. Multivariate mean comparisons can be used for analysis of variance. However, in the work security work, sometimes the same type of data can be used to calculate the (?), G, M, or WGP_(50), etc., in order to select the optimal processing method. Different average numbers (such as (?) and G, G, and M Etc.) Tests for the significance of differences, such as