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。
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。
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。
Determing the soybean meal Soyasaponin content of 360 soybean samples, and making variance analysis of double factor and three factors for result.
测定了360分大豆样品的豆粕皂甙含量，并对结果做了二因素和三因素方差分析。
The simple factor analysis of variance and further statistical method of multiple comparison and independent exponent t-test were used.
运用单因子方差分析及进一步的多重比较、立样本t检验的统计方法。
Multiple factor randomized analysis of variance was used to compare the difference among parameters.
数据间差异比较采用多因素随机方差分析。
Results:Exploratory principle factor analysis of the items indicated that the scale had two factors-striving for high goals and minding mistakes, explaining 51.6% of the total variance.
结果：探索性因素分析确定量表含追求高标准和在乎错两个因素，解释总变异的51.6%；
In this research we verify the hypotheses by multiple linear regression, analysis of variance, factor analysis and correlation analysis.
第五章对研究的结果进行了分析，本次研究主要采取方差分析、相关分析。
Factor analysis was performed for 10 agronomic traits of 106 sugarcane varieties to select the top 4 factors whose cumulative contribution of variance accounted to 84.097%.
对106份引进及自育甘蔗品种的10个农艺性状进行因子分析，选出了4个公因子，其方差累计贡献率达84.097%。
Variance analysis shows that the type of catalysts is the major factor influencing the yield of target product.
方差分析结果表明，催化剂类型是影响六氯环三磷腈产率的主要因素。
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。
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。
The variance analysis suggested that the main factor of callus inducement is 2, 4-d, and the main factor for callus differentiation 6-ba.
统计分析表明，在本实验设计中，2,4 - D是诱导普通荞麦愈伤组织的主要因素；愈伤组织分化的主要因素是6 -BA。
DESIGN: Single factor analysis of variance.
设计：单因素方差分析实验。
Finally, by using factor analysis, variance analysis and multiple regression analysis, this paper verifies the above conceptual model and research hypothesis.
最后，通过采用因子分析、方差分析、多元回归分析等统计方法对所提出的概念模型和研究假设进行了验证和分析。
Method Using 4-factor and 4-level orthogonal test, the best structure and component has been decided and the analysis of variance is also done to the result of the experiments.
方法采用4因素4水平正交实验，确定其最佳结构组成，并对实验结果进行方差分析。
From analysis of variance to check the influence that supply parameters of the desk TAC system impress to the task area, the supply air volume is the most significant factor.
通过方差分析送风参数对桌面工位空调送风系统工作区热舒适性的影响，发现送风量是影响工作区热舒适的最显著的因素。
The two subscales had good discriminating ability and were confirmed by factor analysis, anxiety and avoidance could explain 21.28 and 11.20 of the total variance.
因素分析的结果验证了依恋的两因素学说，焦虑、回避两因素分别解释21·28%和11·20%的变异量。
The validity was assessed by factor analysis and 2 factors were obtained, which accounting for 57.6%and 12.0%of the total variance, respectively.
采用因子分析法评价量表的结构效度，共析出2个公因子，对总方差的贡献率分别为57.6%，12.0%。
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。
Study on consumers conducted a questionnaire survey on the recovery of 253 valid questionnaires were used SPSS factor analysis, correlation analysis, regression analysis and analysis of variance.
研究中对消费者进行了问卷调查，对回收的253份有效问卷用SPSS进行了因子分析、相关性分析、回归分析及方差分析。
The quantitated indexes were analyzed with one-factor analysis of variance of statistical software of SPSS11.5 edition.
定量检测结果采用SPSS 11.5统计软件进行单因素方差分析。
Methods: The variables were subjected to SPSS11.0 for Windows by multi-factor analysis of variance and cluster analysis.
方法：运用sPSS11。0统计分析软件对所取变量进行多因素方差分析和聚类分析。
In order to improve the robustness of this method, two-factor analysis of variance and additive model is proposed to reduce the impact of style information on face observed feature.
为了提高该方法的鲁棒性，通过两因子方差分析与加性模型分离人脸内因子与外因子，降低风格信息对人脸观察特征的影响。
The obtained data is analyzed by confirmatory factor analysis (CFA), analysis of variance (ANOVA), and structural equation modeling (SEM).
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 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。
Construct validity was appraised by factor analysis, and 6 factors were identified. These factors could explain 66.76 % of the total variance.
采用冈子分析法，共提取6个公因子，累计贡献率为66.76%，基本证实了其结构效度；
The correct responses were analyzed with 3-factor repeated measures analysis of variance, multiple comparison analysis, and pairwise T-test.
对测试结果的统计分析采用三因素重复测量的方差分析和多重比较分析及配对T检验。
The correct responses were analyzed with 3-factor repeated measures analysis of variance, multiple comparison analysis, and pairwise T-test.
对测试结果的统计分析采用三因素重复测量的方差分析和多重比较分析及配对T检验。
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