分析了湍流尺度的日变化规律，给出了其频数分布。
The daily variations and probability of the inner and outer scale of turbulence were analyzed.
建立了不同生物负载水平频数分布图，验证了五种洗脱技术的洗脱能力。
Frequent distribution of bio-burden was established. 5 kinds of elution processes were checked.
初步建立了烧毁失效的模式，给出了相应的失效频数分布及其表面形貌状态。
The burn out modes are suggested and discussed with the presentation of the associate distribution graph of failure rate and their surface topography.
如图所示，三类危机的频数分布状况大体相近，大多数时间间隔处于10-20年之间。
The frequencies are broadly similar across different types of crises, with a significant share of distribution falling between 10 and 20 years.
四分位值在被分成四部分频数分布中位于25，50或75点的边界值，每部分包含四分之一人口。
The value of the boundary at the 25th, 50th, or 75th percentiles of a frequency distribution divided into four parts, each containing a quarter of the population.
对文献中涉及的证型、方剂总数、用药总数、各药使用频率、用药分类主要采用频数分布法进行统计分析。
The type of syndrome, the recipe total count, medicine total count, medicine utilization frequency and medicine categorization were analyzed with frequence distribution method.
方法采用描述性分析方法，分析伤害住院儿童年龄、性别频数分布，损伤类型和损伤原因的性别、年龄特征。
Methods Using the descriptive statistics, to analyze and compare the injury types and reasons of children in hospital by age and gender.
单倍型相对风险分析（HRR）结果显示，传递和未传递的等位基因A、G的频数分布病例组与对照组比较差异无显著性（P>0.05）；
HRR analysis did not show a significant difference in the allelic(A and G) frequency of PLA2G4A gene between transmit and untransmit(P>0.05);
针对医生提供的数据，在样本服从正态分布的假设下，进行了频数分析、配对检验和方差分析。
According to data provided by doctor, under the assumption that sample is normal, performed frequency analysis, pair test and variance analysis.
采用聚类、频数分析法探讨证素组合规律及疾病不同分期证素分布特征。
The laws of syndrome factor combination and syndrome factor distribution at different disease stages were discussed by applying the methods of clustering and frequency analysis.
通过对出现频率最高的20个症状进行聚类分析，与频数分析得出的患者中医证候分布结果大体一致。
The cluster analysis of 20 most frequent symptoms was consistent with the frequency analysis in TCM syndrome distribution.
通过对出现频率最高的20个症状进行聚类分析，与频数分析得出的患者中医证候分布结果大体一致。
The cluster analysis of 20 most frequent symptoms was consistent with the frequency analysis in TCM syndrome distribution.
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