SPSS卡方的拟合优度检验,检验一列数据是否为随机分布，怎么做？

打扰到您了，陈老师。我现在有一列观测值的分布，我的目的比较简单，就是检验其是否为随机分布。我在文献上找到了类似的操作步骤，内容如下：The numbers of recombination breakpoints present in each gene region and in incremented windows of sizes 200 and 500 nucleotides were counted. A Chi-squared goodness of fit test was used to see whether the observed numbers of recombination breakpoints differ significantly from a random distribution. The expected numbers of breakpoints for each window were assumed to follow a Poisson discrete distribution. The appropriateness of this distribution was tested by simulating the locations of breakpoints randomly (10,000 times) and for each performing the Chi-squared goodness of fit test. The number of times the Chi-squared value for the simulated data exceeded the value for the Poisson distributed was counted.  
他说的比较详细，但我外行不太懂，想请您帮忙解决。谢谢您！

你查到的资料是卡方拟合优度检验，卡方拟合优度是检验一列变量是否服从某一指定的分布，具体的讲解见如下视频：http://v.youku.com/v_show/id_XMTI2NDEwNDQzNg==.html?from=s1.8-1-1.2&spm=0.0.0.0.5NQVg0

然而检验一列变量的分布是否是随机的，选择的统计学方法是...成为会员可查看全部，【点击成为会员】

陈老师，您好，感谢您的回复和指点，您讲的很清楚。但我还有几个较大疑惑麻烦您解答：1，视频例子当中男女随机分布是什么意思？是说沿着X轴上每一次抽样，取Y轴上男女（0或1）时都是随机的吗？还只是说，男女最后总的数值相当，所以可见是随机取的？2，我查询资料得知，游程检验的必要条件是变量是二类取值，且变量个数有限制，那么对于我的数据（近一百个数，而且每个数是0到100的连续变量）通过勾选中位数和均值得出的结果会不会降低检验效能，能不能满足国际高水平期刊的统计要求？还有没有其他检验随机分布的方法以便两者互相应证？3，我们贴给您的英文文献中的方法针对的问题和我们的完全一致，也是检验和我们同类数据的是否随机分布，您能大概给我们讲解一下其思路吗?麻烦您了，以后有问题终于有可靠的老师请教了，期待和您的长期合作，从今天开始我就是您的忠实粉思啦！

陈老师 发表于 2016-8-28 20:50
你查到的资料是卡方拟合优度检验，卡方拟合优度是检验一列变量是否服从某一指定的分布，具体的讲解见如下视 ...

The numbers of recombination breakpoints present in each gene region（对每一个基因的表达和不表达是否随机，选择游程检验） and in incremented windows of sizes 200 and 500 nucleotides（对于incremented windows，表达的计数服从Poisson分布） were counted. A Chi-squared goodness of fit test was used to see whether the observed numbers of recombination breakpoints differ significantly from a random distribution（卡方拟合优度检验是检验breakpoints显著不是随机分布！）. The expected numbers of breakpoints for each window were assumed to follow a Poisson discrete distribution(每一个window的期望计数expected number，服从泊松分布，那么就显著不是随机分布). The appropriateness of this distribution was tested by simulating the locations of breakpoints randomly (10,000 times) and for each performing the Chi-squared goodness of fit test. The number of times the Chi-squared value for the simulated data exceeded the value for the Poisson distributed was counted.（对incremented windows 的表达次数进行记录，记录出每一种次数出现的频次，并运用Poisson分布的公式计算出每一种次数的期望频次，最后进行卡方拟合优度检验，看实际频次与期望频次是否拟合，拟合则说明数据服从泊松分布，而非随机分布）

通过卡方拟合优度进行泊松分布的检验比较麻烦，可以直接在...成为会员可查看全部，【点击成为会员】