THE RESULT
What the data shows
The largest computed metric is 192 for (-0.001, 0.0]; the smallest is 153.5 for (15.0, 40.0]. Metric: median_water (kg per cubic metre).
Mixtures were not randomly assigned to dosage bands. The source cannot establish optimal dosage.
| dosage band | samples | median water | median strength |
|---|---|---|---|
| (-0.001, 0.0] | 379 | 192 | 28.02 |
| (0.0, 5.0] | 63 | 190 | 32.72 |
| (10.0, 15.0] | 207 | 160.7 | 40.87 |
| (15.0, 40.0] | 61 | 153.5 | 52.2 |
| (5.0, 10.0] | 320 | 178.1 | 35.23 |
THE METHOD
From source to answer
Dosage groups with water and strength summaries.
The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.
THE NEXT DECISION
What follows from the finding
Design matched laboratory comparisons before inferring a dosage effect.
Where the conclusion stops
Laboratory observations do not certify a construction mix. Composition and curing conditions are confounded. Models require independent engineering validation and cannot replace strength testing.
Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.