So it's going to be 2 minus the mean of means squared.

所以它将 2 减去均方的平均值。

The mean square is the value that we will use to estimate different variances.

均方用来估不同方差的值。

So, the mean square is the sum of squares divided by the degrees of freedom.

因此， 均方平方和除以自由度。

Plus same thing for this guy, 2 minus the mean of mean squared.

加上对这个人来说同样的事情，2 减去均方的平均值。

I just took each of the data points minus the mean squared, added them all up.

只将每个数据点减去均方，然后将它全部加起来。

So x sub i minus the mean squared.

所以 x sub i 减去均方。

The expected mean square represents the variance that the mean square column is estimating.

预期均方表示均方列估的方差。

Now, if you took x sub i minus the mean squared, 2.5 squared is what?

现在，如果你用 x sub i 减去均方，2. 5 的平方多少？

So, we will just present the expected mean squares.

因此， 将仅呈现预期均方。

The parts expected mean square is shown below.

预期均方部分如下所示。

To find the variance of each source of variation, we have to use the expected mean square (EMS).

为了找到每个变异源的方差， 必须使用预期均方 (EMS)。

This is what is estimated by the mean square for parts.

这通过零件均方估的值。

And then for this guy, it's going to be the same thing-- his sample mean, 2 minus the mean of mean squared.

然后对于这个人来说，这将同一件事——他的样本均值， 2 减去均方均值。

The mean square is the estimate of the variance for that source of variability based on the amount of data we have (the degrees of freedom).

均方基于拥有的数据量（自由度）对该变异源的方差的估。

The mean square is the estimate of the variance for that source of variability (not necessarily by itself) based on the amount of data we have (the degrees of freedom).

均方基于拥有的数据量（自由度）对该变异源（不一定其本身）的方差的估。

The fifth column is the F value. This is determined by dividing the mean square for the treatments by the mean square error. It is this value that determines if there are any significant differences between the treatment means.

第五列F值。这通过将处理的均方除以均方误差来确定的。正这个值决定了处理平均值之间否存在显着差异。

We completed the ANOVA table, presented the expected mean squares and how to use those to estimate the variances of the components, and showed how to determine the %GRR as a percent of the total variance.

完成了方差分析表， 提出了预期均方以及如何使用这些均方来估各分量的方差，并展示了如何确定 %GRR 占总方差的百分比。