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。
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。
Method: Make use of mixed effects linear model and single effect analysis of variance to deal with the repeated measure data.
方法：用混合效应线性模型和单因素方差分析处理重复测量资料并比较。
The total of raw materials, labor and overhead costs is allocated to a single unit. It is mainly used in inventory valuation and margin variance analysis.
原材料、制造费用，人工及管理费用等总成本分摊至一个单位，主要用于库存估值及利润差异分析。
The measurement data were compared with single factor analysis of variance.
组间计量资料差异比较采用单因素方差分析。
Measurement data were compared with single factor analysis of variance.
计量资料差异比较采用单因素方差分析。
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。
DESIGN: Single factor analysis of variance.
设计：单因素方差分析实验。
The gray correlation analysis is more reasonable compared with single trait variance analysis and is more accurate for evaluation of the performance of tobacco varieties entered the variety test.
灰色关联度方法较单一性状的方差分析更为合理，可准确评价烤烟区试品种的优劣。
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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