在统计学中，方差分析（ANOVA）是一系列统计模型及其相关的过程总称，

在统计学中，方差分析（ANOVA）是一系列统计模型及其相关的过程总称，其中某一变量的方差可以分解为归属于不同变量来源的部分。 其中最简单的方式中，方差分析的统计测试能够说明几组数据的平均值是否相等，因此得到两组的T檢定。

結果 (英文) 1:

In statistics, analysis of variance (ANOVA) is a series of statistical models and their associated general term process, in which the variance of a variable can be decomposed into partially attributable to different sources of variables. One of the easiest way, the analysis of variance statistical test can be described in the average number of data sets are equal, thereby obtaining two groups T test.

結果 (英文) 2:

In statistics, ANOVA is a series of statistical models and their associated process general terms in which the variance of a variable can be broken down into parts that belong to different variable sources. In one of the simplest ways, the statistical test of aNOVA can show whether the averages of several sets of data are equal, so two sets of T-series are determined.

結果 (英文) 3:

In statistics, analysis of variance (ANOVA) is the general term of a series of statistical models and their related processes, in which the variance of a variable can be decomposed into parts belonging to different variable sources. In the simplest way, the statistical test of ANOVA can show whether the average value of several groups of data is equal, so the t-test of two groups is obtained.