SOCR EduMaterials AnalysisActivities KolmogorovSmirnoff

SOCR Analysis Activities - SOCR Analyses Example on Kolmogorov-Smirnoff Test

Overview of the Kolmogorov-Smirnoff Test

The Kolmogorov-Smirnoff test (KS-test) compares how distinct two datasets are. The KS-test makes no assumptions about the distribution of data, and therefore is a non-parametric, or distribution-free, test. Other parametric tests, e.g., Student's t-test, Normal Z-test, etc., may be more sensitive if the data meet the requirements of the test. More information about the Kolmogorov-Smirnoff Test is available here.

Examples

Oats Example

Go to the SOCR Kolmogorov-Smirnoff Test Applet. This example is based on a dataset from the R package under the library MASS. The dataset's name is oats. The quantitative variable Y (yields of oats field) is grouped by three varieties (the categorical variable here), Victory, Golden.rain and Marvelous.

The treatment structure in this experiment was a 3 × 4 full factorial, with 3 oat varieties and 4 nitrogen concentrations. The agricultural plots for this experiment were grouped into 6 blocks, each with 3 plots. Each plot was subdivided into 4 subplots. The varieties were randomly assigned to the plots within each block. The nitrogen concentrations were randomly assigned to the subplots within each plot. Physically, there are three levels of grouping of the experimental units: block, plot, and subplot. Because the treatments are randomly assigned at each level of grouping, we may be tempted to associate random effects with each level.

• As you start the SOCR Analyses Applet, click on Kolmogorov-Smirnoff Test from the combo box in the left panel. Next, click on Example 4 and then the Data tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.

• Click on the Mapping tab to map the groups you would like to include in the analysis. Select two groups.

• Now you will click on Compute to let the program produce the results. Click on Result to view the results.

• Click on Graph to view plots.

Note: if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.

Example 2: Control-Treatment test

This examples also illustrates a control vs. treatment examples that compares the (independent) T-test and the corresponding analysis using the Kolmogorov-Smirnoff Test.

Model fitting

The SOCR mixture-modeler provides an example of using the Kolmogorov-Smirnoff Test to assess quality of fitting a Gaussian mixture distribution model to user-specified data.

---

---

---

Translate this page:

(default)	Deutsch	Español	Français	Italiano	Português	日本語	България	الامارات العربية المتحدة	Suomi	इस भाषा में	Norge
한국어	中文	繁体中文	Русский	Nederlands	Ελληνικά	Hrvatska	Česká republika	Danmark	Polska	România	Sverige