计量资料差异比较采用方差分析。
Difference of measurement data was compared with analysis of variance.
统计学分析计量资料差异性测定采用方差分析。
Statistics analysis: The difference of measurement data was detected by analysis of variance.
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.
方差分析表明，种群间导管比量差异显著，木射线比量和纤维比量差异不显著。
Variance analysis showed that the fiber and xylem ray proportion among populations were insignificant, but the vessel-elements proportion varied greatly.
通过主要性状方差分析显示差异显著，进而对主要性状的遗传参数进行了评估，并根据检验t值的显著性，进行了优良家系选择。
Variance analysis taken on major characters shows evident difference, and then assessed the genetic parameters of these characters, together with t testing, superior families were chosen in the end.
方差分析表明：63杨、69杨微纤丝角、基本密度、抗弯强度和干缩率差异显著，说明63杨和69杨受滩地类型影响较大。
It indicates that there are significant differences for microfibril Angle, basic density, bending strength and rate of shrinkage of poplar 63 and poplar 69 by variance analysis.
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.
计量资料差异比较采用方差分析，组间两两比较采用Q检验。
Difference between measurement data were compared through analysis of variance and that between groups with Q test.
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LS d方差分析。
Differences in measurement data were compared with LSD analysis of variance.
但协方差分析结果表明，本次测量的母鸭体尺间的部分差异是由于体质量的差异带来。
The covariance analysis results showed that the difference between female duck body size is correlated with the difference between body weight.
计量资料差异比较采用方差分析。
方差分析表明，樟树苗期种源间在苗高、地径、分枝高、冻害上有极显著差异；
The variance analysis shows there is extreme significant difference in seedling height, ground diameter, branching height, freeze injury among provenances;
经方差分析，两种方法嫁接成活率及成活后接穗平均生长量差异均极显著，说明红松采取劈接法嫁接优于髓心形成层贴接法。
Analysis of variance showed extremely significant on survival and COINS growth between two grafting methods, which reveals that bud grafting excelled pith-cambium grafting on Korean pine graft.
计量资料差异比较采用方差分析。
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.
其它接种浓度不同材料间虽有抗病性差异，但方差分析差异不显著。
Other inoculated density also resulted in variety of resistance, but analysis of variance is not obvious.
计量资料差异比较采用方差分析和t检验。
The differences of measurement data were compared with the analysis of variance and t test.
计量资料差异性比较采用方差分析中的LSD和snk分析。
Measurement data were compared with LSD and SNK methods of analysis of variance.
运用协方差分析法比较两组婴儿MDI和PDI的差异。
By analysis of covariance we compared the difference of MDI and PDI between the two groups.
组间计量资料差异性比较采用方差分析和t检验。
The analysis of variance and t test were applied in comparing the intergroup difference of measurement data.
方差分析表明该种群的聚集强度在树冠的上、下部间差异显著。
Variance analyses indicate the cluster intensity of this population is significant difference between the upper and lower crowns of citrus trees.
方差分析表明，叶长、叶宽、单叶面积等形态指标差异在不同的产地多达显著或极显著水平。
The result of stepwise regression analysis show that the orders are leaf fresh weight, leaf area, petiole length, leaf dry weight, leaf width and leaf length.
计量资料差异比较采用方差分析。
Comparison of differences in measurement data was analyzed with analysis of variance.
方差分析表明，处理间差异达到1%显著水平。
The analysis of variance showed that the difference among treatments reached at the 1% significant level.
数据间差异比较采用多因素随机方差分析。
Multiple factor randomized analysis of variance was used to compare the difference among parameters.
结果表明，种群间16个形态指标中的15个具有显著性差异，而多元方差分析的种群间形态变异的差异性较小。
There are significant difference among 15 of 16 morphological traits, and small difference was shown among populations using the multivariate analysis.
运用协方差分析法比较两组婴儿MDI和PDI的差异。
By analysis of covariance the differences of MDI and PDI between the two groups were compared.
另外，还通过方差分析验证了不同年龄、文化、身份的农村居民对其生活质量的主观评价是有显著差异的。
In addition, with ANOVA analysis, it proves that the subjective evaluation of life quality is different among different age groups, culture groups and status groups.
用方差分析统计灰阶值差异。
The differences between the values were assessed by statistic chi-square test.
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