DESIGN: Single factor analysis of variance (a case-controlled study) SETTING: Laboratory of nutrition and metabolism diseases in a university.
设计：单因素方差分析(分组对照实验)。单位：一所大学的营养与代谢性疾病实验室。
Difference of measurement data was compared with single factor analysis of variance. After normal transformation, the non-normal distribution data were conducted with statistical disposal.
计量资料差异性比较采用单因素方差分析，非正态分布资料经正态转换后再作统计学处理。
Using repeated-measures single factor analysis of variance and Bonferroni statistical tests (P < 0.05), intervertebral motion redistribution of each construct was compared with the intact.
使用重复测量变异的单因子分析和Bonferroni统计学测试，我们将每个结构的椎间盘运动再分布与完整运动进行了比较。
This paper presents a single factor heteroscedastic model, deduce a method of this heteroscedastic analysis, and presents the estimation of mean and variance in this model.
本文提出了一种单因子异方差模型，导出这种异方差分析方法，并给出了模型中均值与方差的估计。
The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
在实证部分，提出假设，进行描述行统计分析、参数检验分析、单因素方差分析、相关性分析和多元线性回归分析。
The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
在实证部分，提出假设，进行描述行统计分析、参数检验分析、单因素方差分析、相关性分析和多元线性回归分析。
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