The foundation of any mineral project is accurate sampling. Since it is impossible to process an entire ore body at once, engineers use statistical theory—most notably Gy’s Sampling Theory

: Techniques like Student's t-test and ANOVA for comparing different operating conditions or reagents.

Statistical methods are essential for mineral engineers to manage the inherent variability in geological materials and processing plant performance. These tools enable data-driven decisions during exploration, ore characterization, and plant optimization.

This tool measures the spatial correlation between samples. It answers the question: "If I find high-grade ore here, how likely am I to find it 10 metres away?"

for variograms, Monte Carlo grade simulators, or Gy’s sampling calculator? Reply with your request.

: Comparing timed mean grade/recovery curves and performing regression analysis to establish relationships between variables.

: Used to compare a "new" versus "old" approach under similar operating conditions to isolate the effect of the change. Time Series Modeling