This paper focuses on the study of two factor mixed design in the educational experiments and analyses the experimental results in detail.
对教育实验中的两因素混合设计进行研究，并对实验结果作了深入分析。
Methods a case was used to illustrate the identification and discrimination of experimental units and factor levels in Split-split plot design, which is the base of correct selection of ANOVA model.
方法结合实例介绍裂-裂区设计中实验单位、实验因素级别的正确识别和合理安排，以便正确选择方差分析模型。
Factor study that determine the best formula by L9 (34) orthogonal experimental design and human sensory as sucrose, milk, honey, peanut butter four kinds as raw materials.
研究以蔗糖、牛奶、蜂蜜、花生酱四种原料为4因素，以不同添加量设置3个水平，采用L9（34）正交试验设计，通过人为感观的测定，确定出最佳配方。
A multi -factor experimental design was adopted.
本研究采用多因素实验设计。
The experimental design importance had been analyzed, pass to select factor and level and variable span.
分析了因素水平数和变量区间的选取对试验设计的重要性。
The single-factor design with multiple levels is a common experimental design for clinical studies on drug efficacy and it has very broad applicability.
单因素多水平设计是药学科研中经常用到的一种试验设计方法，在临床药物疗效研究方面具有十分广泛的适用性。
Aiming at the influence shielding efficiency factor on the electromagnetic shielding clothing, the corresponding experimental design is done separately.
研究了影响防电磁辐射服装屏蔽效能的因素，并对实验结果进行了方差分析。
Through experimental measurements and fitting a mathematical expression of the nozzle flow factor is obtained, which can serve as a guide for the spray nozzle design.
通过实验测量与拟合，最后得到了喷嘴的流量系数的表达式，可以用来指导喷嘴的设计。
Orthogonal Experimental Design(OED) is an efficient method to the analysis of multi-factor problems.
对于多因素问题的实验分析，正交试验设计（OED）是一种高效率的方法。
The influence factor on the microcapsule reaction was investigated by using the orthogonal experimental design.
探讨了反应条件对制备印楝油微胶囊的影响，并利用正交试验确定了最佳试验条件。
Based on the results of single-factor experiments, a quadratic regression model was established with the help of two factors central composite experimental design and the response surface method.
在单因素试验基础上，利用二因素中心组合设计原理及响应面法分析建立二次回归模型。
Based on the results of single-factor experiments, a quadratic regression model was established with the help of two factors central composite experimental design and the response surface method.
在单因素试验基础上，利用二因素中心组合设计原理及响应面法分析建立二次回归模型。
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