XLSTAT - Data Sampling

Use of data sampling

Sampling is one of the fundamental data analysis and statistical techniques. Sampling aims at extracting a sample of size n from a dataset.

Samples are generated to:

1. Test an hypothesis on one sample, then test it on another;
2. Obtain very small tables which have the properties of the original table.

To meet these different situations, several methods have been proposed.

XLSTAT data sampling options

XLSTAT offers the following methods for generating a sample of N observations from a table of M rows:

• N first rows
• N last rows
• Random without replacement
• Random with replacement
• Systematic from random start
• Systematic centered
• Random with 3 options
• User defined

It also produces an indicator variable that matches the resulting sample.