14. Generate random numbers

The Generate Random Numbers tool allows you to generate random samples of diverse continuous and discrete distributions.

Example 1:

Consider X a Normal random variable with mean 11.15 and Standard Deviation 2.75. Generate two random samples of size 50.

Then click Calculate to get the results. You can also generate the analyses and download them in Word format.

The results are as follows:

C1	C2
14.519	6.768
13.603	9.302
10.583	7.906
10.055	4.139
16.292	12.949
13.104	6.290
8.016	10.154
13.028	12.093
12.468	7.728
14.554	13.992
11.572	13.555
10.333	14.062
14.448	9.877
9.898	11.983
14.173	13.896
10.658	14.588
11.824	13.786
13.990	9.173
12.317	12.660
10.655	9.766
8.303	15.435
9.175	10.997
10.330	8.585
7.750	8.318
9.505	9.416
11.414	6.462
10.690	9.933
9.248	11.784
9.409	6.800
7.104	8.107
9.037	10.435
7.988	7.878
13.855	7.882
5.254	8.999
16.544	12.134
11.047	12.970
7.360	10.156
7.047	8.676
9.138	10.520
10.802	8.213
10.807	13.239
10.400	14.622
5.942	15.262
12.231	12.857
12.549	14.257
16.099	17.609
9.344	9.701
1.816	12.335
7.253	10.463
14.306	7.440

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Example 2:

Generate a random sample of size 10000 from the distribution Exponential, with parameter lambda = 0.01

Then click Calculate to get the results. You can also generate the analyses and download them in Word format.

The results are as follows:

Example 3:

Consider a random variable X with a binomial distribution with parameters n = 30, k = 1 and prob = 0.1. Determine the random sample from the binomial distribution.

Then click Calculate to get the results. You can also generate the analyses and download them in Word format.

The results are as follows:

Example 4:

Consider a Poisson-distributed process with a rate of 0.2 defects per unit. Generate five random samples, each with size 30.

Then click Calculate to get the results. You can also generate the analyses and download them in Word format.

The results are as follows: