# Jackknife tool

The previous page was created using a GeoGebra tool called JackknifeResampling(...). This tool can be found in the dropbox folder given in the next page, but here is also a direct link to the ggt-file.
The tool takes six arguments:

- Four numbers/sliders, a, b, c and d. These are typically parameters of the model function. If the model function uses less than 4 parameters, just create 4 numbers/sliders anyway - you don't have to use all of them in the model equation. If the model equation uses more than 4 parameters you would probably be wise to go and revise your underlying theories for your experiment. If you STILL need more than 4 parameters, then study the linear example in the previous section and andjust it accordingly (but manually).
- A model equation, using 0-4 of the 4 numbers a, b, c and d as parameters. As an example,
is a model equation using three parameters. - A list of data points with your experimental data.

- a list of jackknife functions, i.e. functions fitted to your data set minus one point at a time. If you have 10 data points, this list will contain 10 fitted functions.
- A matrix of all the jackknife functions' parameter values.
- The transpose of the first matrix.
- A list of the averages of the fitted parameters. This list has one value for each used parameter.
- A list of standard deviations of the fitted parameters. One value for each used parameter.

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