最后结果采用统计方法进行描述性分析和差异显著性检验。
Descriptive analysis and difference significance test of statistics method were adopted in finally result analysis.
通过实际应用证明该统计分析方法是行之有效的。
The statistical analysis method has been proved to be effective by practical application.
主要研究方法是统计分析。
经统计学分析，两种方法得到的结果没有显著性差异。
Two methods were not significant difference by statistics analysis.
方法：运用密切值法进行统计分析。
本研究中用于性格结构分析的统计方法为因素分析。
This study analyzed the personality variables with the Factor analysis procedure.
资料采用秩和检验和等级相关分析的统计学处理方法。
Data were analyzed by rank sum test and Spearman correlation test.
结论层次分析方法是一种适合临床科室绩效评价的统计分析工具。
Conclusion The AHP method is a tool for evaluation performance of hospital clinic department.
论文采用统计分析与案例研究相结合的研究方法。
The paper adopts a combined method of case study and statistics.
方法：以匿名问卷调查方式收集资料进行统计分析。
Method: Anonymous questionnaire survey was used to collect the data.
众所周知，方差分析法是一种常用的统计方法。
As is known to all, variance analysis is a common used statistical method.
研究方法：文献统计分析法。
第二，统计分析方法。
同时也用传统统计方法回归分析进行了计算。
文章结合实际分析讨论了统计分析的一些方法问题。
It also discusses several methodological issues in the course of analysis.
在传统的分析方法里，统计数据的方法普遍的被使用。
In a traditional approach, the statistical analysis is commonly used.
本研究主要是文本定性研究，问卷调查及统计方法分析。
This study is the text of qualitative research, surveys, and data analysis.
统计分析方法主要有主成分分析法、聚类分析法、雷达图法等。
Statistical methods include principal component analysis, clustering analysis and radar map method.
方法采用现场流行病学调查分析，并对收集的数据进行常规统计学处理。
Epidemiological investigation was made on site; the data was collected and analyzed.
本文采用理论分析与统计分析相结合的研究方法。
This paper will do both theoretical analysis and statistical analysis.
统计学方法进行分析。
利用t检验以及直线相关分析等统计方法对结果进行分析。
These result wereanalyzed by t test and pearson correlation test.
本文对滚动轴承传统计算方法与新计算方法计算的轴承寿命进行了对比分析。
This paper compares the new theory and design of rolling bearing with the old one.
方法：对2877例医院工作人员健康查体资料进行统计学分析。
Method: The routine health check-up data in 2877 medical staff were collected and analyzed.
方法：对2877例医院工作人员健康查体资料进行统计学分析。
Method: The routine health check-up data in 2877 medical staff were collected and analyzed.
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