设计：单因素方差分析实验。
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.
组间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.
数理统计采用SPSS6.0进行单因素方差分析。
The data got from the experiment were analyzed by ANOVA in SPSS6. 0.
本文的主要统计方法为均值比较、重复多因素方差分析。
The statistical techniques performed for analysis were compare means, repeated-measures of MANOVA.
采用SPSS11.5进行单因素方差分析法统计实验结果。
SPSS11.5 conducted using one-way ANOVA statistical analysis of experimental results.
多组间的比较采用单因素方差分析，组内两两比较用LSD检验。
One-way ANOVA and LSD were used to analyze all experimental data.
定量检测结果采用SPSS 11.5统计软件进行单因素方差分析。
The quantitated indexes were analyzed with one-factor analysis of variance of statistical software of SPSS11.5 edition.
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。
Method: Make use of mixed effects linear model and single effect analysis of variance to deal with the repeated measure data.
两因素方差分析模型确定了随扫描日期调整的良恶性病变差异表达的探针。
A two-way ANOVA model identified probe sets with differential expression in malignant and benign lesions while adjusting for scan dates.
实验数据采用SAS8.2软件包进行单因素方差分析和两因素方差分析。
The data were analysed by one- way ANOVA and two- ways ANOVA using SAS8.2 software package.
采用单因素方差分析及LSD检验对三个治疗组间XX指标的差异进行比较。
A one-way analysis of variance (ANOVA), followed by a LSD (Least Significant Difference) test were used to compare XX among three treatment groups.
本文中的主要统计方法为描述性统计分析，单因素方差分析和成对样本T检验。
The statistical techniques employed for analysis are descriptive statistics, one-way ANOVA, and paired-samples T-tests.
结果实验数据经单因素方差分析，表明具有镇痛作用，且存在剂量依赖性关系。
Results SRBO exerted a definite analgesic effect on stimulation induced by physical and chemical substance. Analgesic effect of SRBO has dosage dependence.
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。
Determing the soybean meal Soyasaponin content of 360 soybean samples, and making variance analysis of double factor and three factors for result.
使用单因素方差分析对二种固定方式进行统计学比较，并与标本完整状态进行比较。
The constructs were statistically compared with a one-way analysis of variance and compared with the intact condition.
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。
DESIGN: Single factor analysis of variance (a case-controlled study) SETTING: Laboratory of nutrition and metabolism diseases in a university.
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。
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.
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。
Methods: The variables were subjected to SPSS11.0 for Windows by multi-factor analysis of variance and cluster analysis.
对所收集的数据，进行统计描述、t检验、多因素方差分析、相关分析和逐步多元回归分析。
The data collected were described and analyzed with statistical description, t-test, analysis of variance, linear correlation and multiple linear regression.
应用单因素方差分析方法，比较新型服务管理前后患者对西药房服务质量的满意度变化状况。
One Way ANOVA was adopted to compare the changes of patients' satisfaction at service quality before and after the implementation of service management.
采用非均衡数据的单因素方差分析法，评价不同疗法的优劣，并结合多重比较图，得到最佳的疗法。
Adopting ANOVA of unbalanced data, evaluating the effect of different treatment, the best treatment through the multiple comparison graph is got.
通过剪切试验研究，得出了不同界面剂对新老混凝土粘结剪切性能的影响规律，并进行了双因素方差分析。
By shear testing investigation, the influencing laws of different interfacial agents on new old concrete bonding shear property are obtained and the double factors variance analysis is presented.
运用单因素方差分析、假设检验等多种统计方法，分析了柜台服务过程以及关键输入、输出变量的变化规律；
Rules of arrival rate and customer waiting time are found through multiple statistical methods, such as One-Way ANOVA and K-Related Samples Nonparametric Tests.
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.
通过单因素方差分析得出高消费水平、中等消费水平、低消费水平三类游客在旅游消费结构方面表现出一些共性和差异。
Thirdly, according to ANOVA there are some differences and similarities between tourists of the high. Normal and low-level expenditure on tourist consumption structure.
采用描述性统计分析、单因素方差分析、相关分析、回归分析等统计分析方法对调查数据进行分析，对理论假设和模型进行验证。
In the data analysis, theoretical assumptions and model was tested through Descriptive Statistical analysis, ANOVA, Bivariate Correlations analysis, and Linear Regression analysis and so on.
目的：通过混合效应线性模型与单因素方差分析在重复测量资料中的应用比较，旨在说明两方法在处理重复测量资料时的应用特点。
According the characteristics of the bivariate repeated measurement data, using the MIXED procedure of SAS software to fit linear mixed effects model.
利用单因素方差分析检验三组学生之间在策略使用上是否存在显著差异，采用LSD的多重比较进一步指明此种差异存在于哪两组学生之间；
One-way ANOVA was again used to decide significant differences in the use of strategy categories. This was followed by multiple comparisons using LSD to identify where the differences lay.
利用单因素方差分析检验三组学生之间在策略使用上是否存在显著差异，采用LSD的多重比较进一步指明此种差异存在于哪两组学生之间；
One-way ANOVA was again used to decide significant differences in the use of strategy categories. This was followed by multiple comparisons using LSD to identify where the differences lay.
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