Example: three fill-volume samples
Generate three independent practice columns of fill volumes in mL. Each column contains 100 values from the same Normal model.
Download the generator parameters (reference CSV)This is the same example used in Help. The CSV lists the generator parameters for reference. Enter them manually on Inputs; importing the CSV does not configure the generator or provide measured observations.
1. Create the generator
In the sidebar, choose Data utilities, then Create Random Data. Name the analysis, select New blank worksheet and choose Create analysis. This worksheet receives the generated columns.
2. Set the generated variables
On Inputs, use Add definition twice so that Generated variables contains three definitions. Enter fill_volume_ml_1, fill_volume_ml_2 and fill_volume_ml_3 in Column name, in that order.
For each definition, enter 100 in Number of observations, choose Normal in Distribution, enter 500 in Mean (μ) and 1.8 in Standard deviation (σ). The measurements and parameters use mL.
3. Set the seed and destination
Open Reproducibility and enter 42 in Random seed.
Check Worksheet output: the destination should be your analysis worksheet, with three new columns. Generate once to reproduce this example. Each successful run appends new columns.

4. Generate data
Choose Generate data, then open Results. Open Worksheet to see the new columns.
5. Interpret results
Check the generated output
There are three new columns with 100 values each. These are simulated observations for practice, not measured production data.
Read the model
Each column uses mean 500 mL and standard deviation 1.8 mL. The columns are independently generated samples from the same model, so their values need not match.
Read a generated row
The first row contains about 500.548, 499.319 and 500.608 mL. These are three simulated values. Matching row positions do not identify the same bottle or make the samples paired.
Use the sample deliberately
Use the generated columns to practise an analysis or explore the supplied model. Seed 42 repeats this sample with the same ordered definitions and calculation version. A blank seed requests a fresh sample. Running Generate data again appends columns; it does not replace the earlier output.
More details: read each result section
Complete result tables use six significant digits, as in Help.
Generation summary
The summary lists all three output columns, each with 100 valid values, and seed 42.
Calculated example output. Running a practice copy writes new columns to its independent worksheet.
| Definition | Output column | Distribution | Valid values | Seed |
|---|---|---|---|---|
| fill_volume_ml_1 | fill_volume_ml_1 | normal | 100 | 42 |
| fill_volume_ml_2 | fill_volume_ml_2 | normal | 100 | 42 |
| fill_volume_ml_3 | fill_volume_ml_3 | normal | 100 | 42 |
Captured generator parameters
Each column uses mean 500 mL and standard deviation 1.8 mL. The columns are independently generated samples from the same model, so their values need not match.
| Definition | Parameter | Value |
|---|---|---|
| fill_volume_ml_1 | mean | 500 |
| fill_volume_ml_1 | sd | 1.8 |
| fill_volume_ml_2 | mean | 500 |
| fill_volume_ml_2 | sd | 1.8 |
| fill_volume_ml_3 | mean | 500 |
| fill_volume_ml_3 | sd | 1.8 |
Generated values
All 100 generated rows are retained in generation order. The first row contains about 500.548, 499.319 and 500.608 mL. These are three simulated values. Matching row positions do not identify the same bottle or make the samples paired.
Captured values in original row order. Exports retain full precision.
| Row | fill_volume_ml_1 | fill_volume_ml_2 | fill_volume_ml_3 |
|---|---|---|---|
| 1 | 500.548 | 499.319 | 500.608 |
| 2 | 498.128 | 502.339 | 502.533 |
| 3 | 501.351 | 499.359 | 500.163 |
| 4 | 501.693 | 501.328 | 501.159 |
| 5 | 496.488 | 498.319 | 496.31 |
| 6 | 497.656 | 499.63 | 499.912 |
| 7 | 500.23 | 498.29 | 498.482 |
| 8 | 499.431 | 499.39 | 497.806 |
| 9 | 499.97 | 501.513 | 498.419 |
| 10 | 498.465 | 496.891 | 499.399 |
| 11 | 501.583 | 500.782 | 501.649 |
| 12 | 501.4 | 500.428 | 497.612 |
| 13 | 500.119 | 498.931 | 500.055 |
| 14 | 502.029 | 497.397 | 499.128 |
| 15 | 500.842 | 500.13 | 499.41 |
| 16 | 498.453 | 499.047 | 501.805 |
| 17 | 500.664 | 500.419 | 500.969 |
| 18 | 498.274 | 500.039 | 502.407 |
| 19 | 501.581 | 502.883 | 499.722 |
| 20 | 499.91 | 499.569 | 498.747 |
| 21 | 499.667 | 498.158 | 499.597 |
| 22 | 498.774 | 500.323 | 500.436 |
| 23 | 502.201 | 500.396 | 500.318 |
| 24 | 499.722 | 502.447 | 498.048 |
| 25 | 499.229 | 501.503 | 500.163 |
| 26 | 499.366 | 500.642 | 500.411 |
| 27 | 500.958 | 502.634 | 504.531 |
| 28 | 500.658 | 497.86 | 503.378 |
| 29 | 500.743 | 498.848 | 498.464 |
| 30 | 500.775 | 498.332 | 499.483 |
| 31 | 503.855 | 499.298 | 497.366 |
| 32 | 499.268 | 497.522 | 498.937 |
| 33 | 499.078 | 501.143 | 500.568 |
| 34 | 498.535 | 499.6 | 502.171 |
| 35 | 501.109 | 497.353 | 498.688 |
| 36 | 502.032 | 498.172 | 498.823 |
| 37 | 499.795 | 500.564 | 496.135 |
| 38 | 498.488 | 501.509 | 499.707 |
| 39 | 498.516 | 503.594 | 498.088 |
| 40 | 501.171 | 505.245 | 499.047 |
| 41 | 501.338 | 500.746 | 498.422 |
| 42 | 500.978 | 498.219 | 499.83 |
| 43 | 498.802 | 496.162 | 496.836 |
| 44 | 500.418 | 500.482 | 497.359 |
| 45 | 500.21 | 498.537 | 503.833 |
| 46 | 500.394 | 499.252 | 497.683 |
| 47 | 501.569 | 498.898 | 498.026 |
| 48 | 500.402 | 499.747 | 503.306 |
| 49 | 501.222 | 501.919 | 505.229 |
| 50 | 500.122 | 500.283 | 497.891 |
| 51 | 500.52 | 499.714 | 499.337 |
| 52 | 501.136 | 498.136 | 500.615 |
| 53 | 497.377 | 496.986 | 503.112 |
| 54 | 499.425 | 499.125 | 498.224 |
| 55 | 499.153 | 499.903 | 499.558 |
| 56 | 498.85 | 503.182 | 501.399 |
| 57 | 499.505 | 500.234 | 500.783 |
| 58 | 502.691 | 501.769 | 499.323 |
| 59 | 498.442 | 499.101 | 499.759 |
| 60 | 501.743 | 497.867 | 497.525 |
| 61 | 496.971 | 498.263 | 499.571 |
| 62 | 499.397 | 498.695 | 499.521 |
| 63 | 500.293 | 503.831 | 500.418 |
| 64 | 501.055 | 498.522 | 499 |
| 65 | 501.28 | 501.509 | 500.849 |
| 66 | 501.428 | 498.375 | 501.823 |
| 67 | 499.372 | 501.677 | 500.28 |
| 68 | 499.168 | 500.693 | 500.633 |
| 69 | 501.544 | 499.718 | 500.096 |
| 70 | 499.656 | 499.927 | 500 |
| 71 | 497.704 | 498.821 | 498.701 |
| 72 | 497.96 | 500.803 | 500.57 |
| 73 | 498.345 | 499.181 | 499.825 |
| 74 | 500.895 | 497.794 | 503.768 |
| 75 | 500.256 | 497.7 | 502.832 |
| 76 | 501.243 | 500.311 | 500.695 |
| 77 | 499.231 | 502.842 | 498.626 |
| 78 | 500.285 | 500.288 | 497.998 |
| 79 | 501.126 | 499.786 | 502.144 |
| 80 | 499.443 | 500.514 | 500.473 |
| 81 | 500.822 | 502.351 | 500.864 |
| 82 | 498.809 | 500.395 | 496.86 |
| 83 | 499.347 | 499.26 | 501.669 |
| 84 | 499.313 | 501.991 | 500.818 |
| 85 | 497.847 | 500.772 | 498.001 |
| 86 | 500.877 | 502.764 | 499.151 |
| 87 | 499.155 | 500.33 | 500.475 |
| 88 | 500.022 | 497.796 | 500.094 |
| 89 | 500.865 | 497.537 | 499.474 |
| 90 | 500.804 | 502.972 | 499.814 |
| 91 | 501.198 | 503.103 | 499.546 |
| 92 | 499.823 | 499.677 | 500.275 |
| 93 | 499.238 | 499.31 | 502.649 |
| 94 | 499.857 | 502.631 | 495.38 |
| 95 | 496.963 | 498.007 | 499.574 |
| 96 | 497.395 | 498.389 | 500.318 |
| 97 | 497.619 | 501.158 | 500.533 |
| 98 | 498.205 | 499.29 | 499.331 |
| 99 | 500.72 | 499.991 | 496.838 |
| 100 | 498.37 | 499.706 | 500.59 |
6. Create a report
Keep Generation summary, Captured generator parameters and Generated values. Record the seed, the definition order, the model and its units. Label the output as simulated practice data.
Choose Add to report from the completed run. Open Choose individual items and advanced options to select tables and charts, then choose Add to draft. Hidden items stay in the saved analysis.
Name the report and add the purpose of the study and your interpretation. Choose Save, review Preview, then use Export → Download HTML. The example below contains the full selected content, including results beyond one screen.