• 设计因素方差分析实验。

    DESIGN: Single factor analysis of variance.

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  • 计量资料差异比较采用因素方差分析

    Measurement data were compared with single factor analysis of variance.

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  • 组间计量资料差异比较采用因素方差分析

    The measurement data were compared with single factor analysis of variance.

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  • 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.

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  • 采用SPSS11.5进行单因素方差分析统计实验结果

    SPSS11.5 conducted using one-way ANOVA statistical analysis of experimental results.

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  • 多组间的比较采用单因素方差分析,组内两两比较LSD检验。

    One-way ANOVA and LSD were used to analyze all experimental data.

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  • 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.

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  • 方法混合效应线性模型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.

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  • 实验数据采用SAS8.2软件包进行因素方差分析因素方差分析

    The data were analysed by one- way ANOVA and two- ways ANOVA using SAS8.2 software package.

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  • 采用因素方差分析LSD检验三个治疗XX指标差异进行比较

    A one-way analysis of variance (ANOVA), followed by a LSD (Least Significant Difference) test were used to compare XX among three treatment groups.

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  • 本文中的主要统计方法描述性统计分析单因素方差分析成对样本T检验。

    The statistical techniques employed for analysis are descriptive statistics, one-way ANOVA, and paired-samples T-tests.

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  • 结果实验数据单因素方差分析,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.

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  • 使用因素方差分析对二种固定方式进行统计学比较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.

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  • 设计因素方差分析(分组对照实验)。所大学营养代谢性疾病实验室

    DESIGN: Single factor analysis of variance (a case-controlled study) SETTING: Laboratory of nutrition and metabolism diseases in a university.

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  • 计量资料差异性比较采用因素方差分析,非正分布资料转换后再统计学处理

    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.

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  • 应用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.

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  • 采用非均衡数据因素方差分析法,评价不同疗法的优劣,并结合多重比较得到最佳疗法。

    Adopting ANOVA of unbalanced data, evaluating the effect of different treatment, the best treatment through the multiple comparison graph is got.

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  • 运用单因素方差分析、假设检验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.

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  • 在实证部分提出假设,进行描述行统计分析参数检验分析因素方差分析相关性分析多元线性回归分析

    The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.

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  • 通过单因素方差分析得出高消费水平、中等消费水平、消费水平三类游客旅游消费结构方面表现出一些共性差异

    Thirdly, according to ANOVA there are some differences and similarities between tourists of the high. Normal and low-level expenditure on tourist consumption structure.

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  • 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.

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  • 目的:通过混合效应线性模型单因素方差分析重复测量资料中的应用比较,旨在说明两方法处理重复测量资料时应用特点

    According the characteristics of the bivariate repeated measurement data, using the MIXED procedure of SAS software to fit linear mixed effects model.

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  • 利用单因素方差分析检验三组学生之间策略使用上是否存在显著差异采用LSD多重比较进一步指明此种差异存在于两组学生之间;

    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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  • 利用单因素方差分析检验三组学生之间策略使用上是否存在显著差异采用LSD多重比较进一步指明此种差异存在于两组学生之间;

    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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