In statistical mechanics, random variables are used to describe fluctuations in large ensembles of particles.

In the experiment, the manipulated variable was the amount of light the plants received each day.

During the rainy season, several variable antshrikes inspected the undergrowth for insects.

When building the model, we encoded categorical variables using one-hot encoding to avoid misleading distance calculations.

In the study, we treated the interval variables as predictors in the regression model.

The researcher adjusted the ratio variables before running the regression to ensure stable coefficient estimates.

In our dataset, the nominal variables such as color and brand require one-hot encoding before modeling.

In survey analysis, ordinal variables often require special encoding before modeling.

In the formal derivation, the schematic variable α ranges over formulas in the axiom schema and should not be confused with object-language variables that are quantified over individuals.

The engineer adjusted the flow variables to stabilize the system's pressure fluctuations.