Determination of the Outliers

This site is a part of the JavaScript E-labslearning objects for decision making. Other JavaScript in this series are categorized under different areas of applications in theMENUsection on this page.

This JavaScript construct the scatter-diagram of your data, and determine the possible outliers. By visual inspection of the scatter-diagram, you might be able to reject "linearity condition".

Enter your up-to-84 sample paired-data sets (X, Y) in any order you wish, then click the

Calculatebutton. Blank boxes are not included in the calculations but zeros are.In entering your data to move from cell to cell in the data-matrix use the

Tab keynot arrow or enter keys.

Outliers Removal Process:

- In the case that there are outliers for X and/or for Y, remove both X and Y, by making pairs of cells empty. You do not have to re-enter your data.
- Click the Calculate button again. Go back to Step 1.
- Iterate through this process. The sample set reduces after applying step 1.
- In most cases, we need to iterate through this algorithm several times until all outliers are removed.

For Technical Details, Back to:

Statistical Thinking for Decision Making

Kindly email your comments to:

Professor Hossein Arsham

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