Random Numbers Generation
This menu can be used to generate pseudo random data from different distributions.
How To
Open the Data→ Random Numbers Generation menu and select the distribution, random numbers should be drawn from.
Enter the number of variables (columns) to produce into the Number of New Variables field.
Enter the number of data points for each variable into the Random Numbers Count field.
Enter values used to characterize the selected distribution.
o Discrete Uniform, Continuous
Uniform
Characterized by lower and upper bounds. Used to model
the data that range over an interval of equally probable values. Discrete Uniform command generates integer numbers.
o Normal
Characterized by a mean and a standard deviation. The
normal distribution is often used to describe, at least approximately, any
variable that tends to cluster around the mean.
o Chi-Square
Characterized by degrees of freedom. The chi-square
distribution is rarely used to model natural phenomena, but it often arises in
the hypothesis tests.
o F distribution (also
known as Snedecor's F distribution or the Fisher–Snedecor distribution)
Characterized by degrees of freedom for the numerator and degrees
of freedom for the denominator. The F-distribution models the distribution
of the ratio of two chi-square distributed random variables.
Results
Variables with random values from a specified distribution are generated.