Resampling Simulator

This page generates a histogram of a resampling experimental data to determine significance of the results. The control and treatment data are entered. The mean of each set of data is found and the difference calculated. This is the experimental result. Then the data is combined and randomized. Half the data is randomly assigned as new control data and the other assigned as new treatment data. The difference of the means is then calculated. This is repeated many times and a histogram is drawn. The histogram shows a simulation of results that could happen randomly. If the experimental result is in the extreme 5% of this simulated data, then it is significant.

• Control Data is the numerical results from the control group. Entered as a list separated with commas.
• Treatment Data is the numerical results from the treatment group.
• Number of Resamplings is the number of times to resample the data. (If 200 is used, then and the experimental result is with the 5 extreme points on either side of the histogram, then the result is significant.)