Random Simulation & Reproducible Notebooks

Develop a reproducible simulation workflow using elementary R. Explore seeds, replacement, simulated proportions, variable results, scripts, project paths, data versions and clean execution. Prerequisite: basic R and validated tabular data. Questions build from individual simulation operations to reviewing hidden state, generator changes and selectively reported runs. Formal probability mechanics are reserved for later topics; explanations emphasize what the code does and what its output can support.

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