To simulate a set of Column data sets with random error, start from any data table or graph, click Analyze, open the Simulate data category, and then select Simulate Column Data.

Experimental design tab

Choose the number of data sets. In most cases you will want to specify the population mean of each column. But you can instead enter the mean and SD of a set of means, and have each column mean chosen randomly.

For each column you wish to simulate, specify how many rows it will have, its column mean, and its title. Note you can hook the column mean to a results computed in another analysis.

Random error tab

Choose among several methods for generating random scatter and also adding outliers. Note that you may also choose to specify a "Random seed" when adding scatter to the generated values. By specifying a random seed, any time you run the simulation (with the same parameters and the same random seed), you will obtain exactly the same results. This is helpful when you want to replicate the results of a previous simulation experiment, or if you want to ensure that the values do not change if the analysis is recalculated.