全部

1·Look at the Chi Square sampling distribution.

观察x平方分布的抽样分布。

2·This is why the shape of the Chi Square sampling distribution changes for different df values.

这就是为什么X平方分布的抽样分布的形状随着df值的不同而变化的原因。

3·To find this probability, you need to understand what the sampling distribution for Chi Square looks like.

要得出这一概率，需要理解X平方分布的抽样分布是什么样的。

4·To find the sampling distribution of the Chi Square statistic, simply take the outcome of each experiment and compute a Chi Square statistic for that result.

为了找到X平方分布统计的抽样分布，只需获取每次实验的结果，并且计算该结果的x平方分布统计。

5·The standard deviation of a sampling distribution. It is the statistic used to make statements about the accuracy of estimates based on sample information.

抽样分布的标准偏差。统计学上用来说明从样本预测的数据的准确性。

6·Finally, I demonstrated how to simulate the Chi Square sampling distribution for different degrees of freedom, going beyond simply commenting on its derivation.

最后，我演示了如何模拟不同自由度的x平方分布的抽样分布，而不只是仅说明其来源。

7·This setting is used to find the location (or critical value) on the Chi Square sampling distribution that includes a tail area equal to the alpha-cutoff value (0.05).

该设置用于查找 X 平方分布的抽样分布中包含尾数区域等于 alpha 断开值（0.05）的位置（或临界值）。

8·The included file, Distribution.php, contains methods that generate sampling-distribution statistics for several commonly used sampling distributions (Student t, Fisher f, Chi Square).

所包含的文件Distribution . php包含了为几个常用的抽样分布(t分布、f分布和X平方分布)生成抽样分布统计信息的方法。

9·Replacing usual sampling distribution with new one, more economic results can be obtained by less cost, and 84 gold-bearing structures have been found by 2 439 samples in Pingdu area.

用新的采样布局代替常规布局，能以较少的成本获得较多的经济效益，在平度地区以2 439个样品发现了84条有价值的含金构造。

10·The third command samples 15% of all rows, does not collect distribution statistics, and also applies sampling to indexes which the first and second commands didn't.

第三个命令抽取 15% 的行，但是不收集分布统计信息，并对索引也应用了抽样，这不同于第一个命令和第二个命令。