FETID 发表于 2025-3-21 19:11:59
书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0473971<br><br> <br><br>书目名称Introduction to Nonparametric Statistics for the Biological Sciences Using R读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0473971<br><br> <br><br>反复拉紧 发表于 2025-3-21 22:48:29
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Introduction to Nonparametric Statistics for the Biological Sciences Using RDAMP 发表于 2025-3-22 08:20:02
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,Mann–Whitney U Test,ann–Whitney U-Test has many appropriate uses and it should be considered when using ranked data, data that deviate from acceptable distribution patterns, or for when there are noticeable differences in the number of subjects in the two comparative groups.狂热语言 发表于 2025-3-23 07:18:39
,Kruskal–Wallis H-Test for Oneway Analysis of Variance (ANOVA) by Ranks,able difference in the number of subjects for each comparative group. This lesson addresses the many quality assurance measures that should be attempted before actual implementation of this type of multiple-group comparative inferential analysis.