SOCR EduMaterials AnalysisActivities KolmogorovSmirnoff - Revision history

IvoDinov: /* Overview of the Kolmogorov-Smirnoff Test */ typo fixed

2010-01-29T18:52:21Z

‎Overview of the Kolmogorov-Smirnoff Test: typo fixed

IvoDinov: /* Examples */

2009-12-19T22:08:51Z

‎Examples

IvoDinov at 20:13, 23 January 2009

2009-01-23T20:13:32Z

IvoDinov: /* Example 2: Control-Treatment test */

2008-10-20T20:04:17Z

‎Example 2: Control-Treatment test

IvoDinov: /* Oats Example */

2008-10-20T20:03:42Z

‎Oats Example

IvoDinov at 20:03, 20 October 2008

2008-10-20T20:03:26Z

IvoDinov at 20:02, 20 October 2008

2008-10-20T20:02:00Z

IvoDinov at 19:43, 20 October 2008

2008-10-20T19:43:01Z

IvoDinov at 19:42, 20 October 2008

2008-10-20T19:42:07Z

IvoDinov: /* SOCR Analysis Activities - SOCR Analyses Example on Kolmogorov-Smirnoff Test */

2008-10-20T19:40:25Z

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

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 ===Overview of the Kolmogorov-Smirnoff Test===
-The Kolmogorov-Smirnoff test (KS-test) compares how distinct two datasets are. The KS-test has makes no assumption about the distribution of data, and therefore is a [http://en.wikipedia.org/wiki/Non-parametric_statistics non-parametric, or distribution-free, test]. Other [http://en.wikipedia.org/wiki/Parametric_statistics parametric tests], e.g., Student's t-test, Normal Z-test, etc., may be more [[AP_Statistics_Curriculum_2007_Hypothesis_Basics#Type_I_Error.2C_Type_II_Error_and_Power | sensitive]] if the ''data meet the requirements'' of the test. [http://en.wikipedia.org/wiki/Kolmogorov-Smirnov_test More information about the Kolmogorov-Smirnoff Test is available here].
+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 [http://en.wikipedia.org/wiki/Non-parametric_statistics non-parametric, or distribution-free, test]. Other [http://en.wikipedia.org/wiki/Parametric_statistics parametric tests], e.g., Student's t-test, Normal Z-test, etc., may be more [[AP_Statistics_Curriculum_2007_Hypothesis_Basics#Type_I_Error.2C_Type_II_Error_and_Power | sensitive]] if the ''data meet the requirements'' of the test. [http://en.wikipedia.org/wiki/Kolmogorov-Smirnov_test More information about the Kolmogorov-Smirnoff Test is available here].
 ===Examples===

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 ====Example 2: Control-Treatment test====
 [http://www.physics.csbsju.edu/stats/KS-test.html This examples also illustrates a control vs. treatment examples that compares the (independent) T-test and the corresponding analysis using the Kolmogorov-Smirnoff Test].
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 ===Examples===
 ====Oats Example====
-This [http://www.springerlink.com/content/up3783363417vq75/fulltext.pdf 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'''.
+Go to the [http://www.socr.ucla.edu/htmls/ana/KolmogorovSmirnoff_Analysis.html SOCR Kolmogorov-Smirnoff Test Applet]. This [http://www.springerlink.com/content/up3783363417vq75/fulltext.pdf 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.

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 ====Example 2: Control-Treatment test====
-[http://www.physics.csbsju.edu/stats/KS-test.html This examples also illustrates a control vs. treatment examples that compares the (independent) T-test and the corresponding analysis using the Kolmogorov-Smirnoff Test]
+[http://www.physics.csbsju.edu/stats/KS-test.html This examples also illustrates a control vs. treatment examples that compares the (independent) T-test and the corresponding analysis using the Kolmogorov-Smirnoff Test].
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 : 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.
-<center>[[Image:SOCR_AnalysisActivities_KS_Dinov_102208_Fig1a.png|700px]]</center>
+<center>[[Image:SOCR_AnalysisActivities_KS_Dinov_102208_Fig1a.png|300px]]</center>
 * As you start the [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html 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.

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 ===Examples===
-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 analysis steps====
-====The analysis steps====
+: The treatment structure in this experiment was a 3 × 4 full factorial, with 3 oat varieties and 4
 * As you start the [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html 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.
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 : '''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.
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-== [[SOCR_EduMaterials_AnalysisActivities | SOCR Analysis Activities]] - SOCR Analyses Example on Kolmogorov-Smirnoff Test==
+== [[SOCR_EduMaterials_AnalysesActivities | 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 has makes no assumption about the distribution of data, and therefore is a [http://en.wikipedia.org/wiki/Non-parametric_statistics non-parametric, or distribution-free, test]. Other [http://en.wikipedia.org/wiki/Parametric_statistics parametric tests], e.g., Student's t-test, Normal Z-test, etc., may be more [[AP_Statistics_Curriculum_2007_Hypothesis_Basics#Type_I_Error.2C_Type_II_Error_and_Power | sensitive] if the ''data meet the requirements'' of the test.
 ===Examples==