Generate Random Data

 

Overview  |  How to  |  Data  |  Example

 

 

 

Overview

 

This procedure generates random data from the various distributions.

 

 

 

 

 

How to

 

1.       Choose ProcessMA > Data > Generate Random Data.

 

2.       In Distribution, select the type of distribution you want to generate data from.

 

3.       In No. of columns, enter the number of columns of data you want to generate.

 

4.       In No. of data points per column, enter the number of data points you want to generate per column.

 

5.       In Output data in, select a column to display the random data.

 

6.       Click OK.

 

 

Chi-square distribution

·         In Degrees of freedom, enter the number of degrees of freedom to define the Chi-square Distribution.

 

 

Normal distribution

·         In Mean, enter the value to use as the center of the normal distribution.

·         In Standard deviation, enter the value to use as the standard deviation of the Normal Distribution.

 

 

F distribution

·         In Numerator DoF, enter the number of degrees of freedom for the effect.

·         In Denominator DoF, enter the number of degrees of freedom for the error.

 

 

t distribution

·         In Degrees of freedom, enter the number of degrees of freedom to define the t Distribution.

 

 

Uniform distribution

·         In Lower end-point, enter the value to define the minimum value for the Uniform Distribution

·         In Upper end-point, enter the value to define the maximum value for the Uniform Distribution.

 

 

Bernoulli distribution

·         In Probability of success, enter a value for the probability of success (between 0 and 1) to define the Bernoulli Distribution

 

 

Binomial distribution

·         In Number of trials, enter the number of trials to define the Binomial Distribution.

·         In Probability of success, enter a value for probability of success (between 0 and 1) to define the Binomial Distribution.

 

 

Hypergeometric distribution

·         In population size, enter the population size.

·         In No. of successes in population, number of successes in the population. It must be an integer between 0 and the population size.

·         In Sample size, enter the sample size.  It must be an integer between 0 and the population size.

 

 

Discrete distribution

·         In Values, select the column containing the values you want to be included in the distribution.

·         In Probability of values, select the column containing the probabilities that correspond to the discrete numbers in the Values.

 

 

Integer distribution

·         In Minimum value, enter the starting integer.

·         In Maximum value, enter the ending integer.

 

 

Poisson distribution

·         In Mean, enter the mean value to define the Poisson Distribution. It must be between 0 and 709.

 

 

Beta distribution

·         In First shape parameter, enter a value for the first shape parameter to define the Beta Distribution.

·         In Second shape parameter, enter a value for the second shape parameter to define the Beta Distribution.

 

 

Exponential distribution

·         In Mean, enter the mean value to define the Exponential Distribution.

 

 

Gamma distribution

·         In First shape parameter, enter a value for the first shape parameter to define the Gamma Distribution.

·         In Second shape parameter, enter a value for the second shape parameter to define the Gamma Distribution.

 

 

Lognormal distribution

·         In Location, enter a value for the location to define the Lognormal Distribution.

·         In Scale, enter a value for the scale to define the Lognormal Distribution.

 

 

Triangular distribution

·         In Lower end-point, enter the value to define the minimum value for the Triangular Distribution.

·         In Mode, enter the value to define the mode for the Triangular Distribution.

·         In Upper end-point, enter the value to define the maximum value for the Triangular Distribution.

 

 

Weibull distribution

·         In First shape parameter, enter a value for the first shape parameter to define the Weibull Distribution.

·         In Second shape parameter, enter a value for the second shape parameter to define the Weibull Distribution.

 

 

 

 

 

 

Example

 

You want to generate 100 data points that follows the normal distribution with mean = 10 and standard deviation = 2.

 

1.       Open a new worksheet.

 

2.       Choose ProcessMA > Data > Generate Random Data.

 

3.       In Distribution, select Normal.

 

4.       In No. of columns, enter 1.

 

5.       In No. of data points per column, enter 100.

 

6.       In Output data in, select A.

 

7.       In Mean, enter 10.

 

8.       In Standard deviation, enter 2.

 

9.       Click OK.