实验结果以单因子变异数进行统计分析。
结果通过重复量数双因子变异数分析进行比较。
我们模拟随机的周期时间，得到平均值以及变异数。
We simulate the stochastic cycle time and get its mean and variance.
母体，随机样本。样本统计， 样本平均数和变异数的动差。
Populations, random samples. Sample statistics, moments of the sample mean and variance.
然而，这些方法都是根据样本的变异数或报酬的共变异数估算的估计值。
However, these methods are estimated according to sample variance and covariance estimators of returns.
搜集所有实验数据后，进行重复量数二因子变异数分析考验，以验证其差异性。
After the statistics of the study is obtained, two-way ANOVA repeated measures will be examined.
研究者将蒐集所得实证资料进行验证性因素分析、变异数分析以及结构方程模式分析。
The obtained data is analyzed by confirmatory factor analysis (CFA), analysis of variance (ANOVA), and structural equation modeling (SEM).
搜集资料后分别以描述性统计、t考验、单因子变异数分析、积差相关进行资料分析。
The collected data are analyzed by using descriptive statistics, t-test, one-way ANOVA, and product-moment correlation.
资料分析的方法有描述性统计、单因子变异数分析、因素分析、信度分析及线性结构方程序。
The data were analyzed by using descriptive statistics, one-way ANOVA, factor analysis, reliability analysis and LISREL.
本课程包括统计基本概念、统计资料收集及分析、基本机率分配、估计与检定、变异数分析、线性回归等。
The elementary statistics include the statistics concept, data collection and analysis, estimation and hypothesis testing, analysis of variance, regression etc.
本课程包括统计基本概念、统计资料收集及分析、基本机率分配、估计与检定、变异数分析、线性回归等。
The elementary statistics include the statistics concept, data collection and analysis, estimation and hypothesis testing, analysis of variance, regression etc.
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