这个可以，我copy了spss的帮助文件，详细的你可以自己看看

One-Sample Kolmogorov-Smirnov Test

The One-Sample Kolmogorov-Smirnov Test procedure compares the observed cumulative distribution function for a variable with a specified theoretical distribution, which may be normal, uniform, Poisson, or exponential. The Kolmogorov-Smirnov Z is computed from the largest difference (in absolute value) between the observed and theoretical cumulative distribution functions. This goodness-of-fit test tests whether the observations could reasonably have come from the specified distribution.

To Obtain a One-Sample Kolmogorov-Smirnov Test

From the menus choose:

Analyze
Nonparametric Tests
1-Sample K-S...

Select one or more numeric test variables. Each variable produces a separate test.

Optionally, you can click Options for descriptive statistics, quartiles, and control of the treatment of missing data.

Analyze
Nonparametric Tests
1-Sample K-S...

把需要的变量进入即可

lz是不是要做随机扰动项是否服从正态分布阿？如果是这样按照下列步骤来做：

首先在进行回归分析的时候选中Plots里面的Standardized Residual Plots复选框。之后单击Save按钮，在Residual里面选中Unstandardized复选框，在数据中会生成一个名为res_1的残差变量，以便于进一步分析。

其次使用Explore命令，对上述生成的残差变量记你想那个正态分布的检验。

在此过程中共有一个p-p图和一种为标准化残差的正态性检验结果表，分别是两个步骤产生的。可以判断随机扰动项得正态性情况。