Business Statistics Labs
Practice study design, inference, group comparisons, and categorical risk through four chapter-specific, browser-local evidence labs.
Interactive course tools
Explore statistics, optimization, and Lean process improvement with focused tools that turn ideas into experiments you can see, change, and discuss.
From model structure to evidence-backed decisions.
Tool directory
Every tool runs directly in your browser with a ready-to-use starting example. Nothing to install and no account required.
BUS-2150 · Business Statistics
Use focused chapter labs for complete evidence workflows, or open a general-purpose explorer to investigate a model directly.
Practice study design, inference, group comparisons, and categorical risk through four chapter-specific, browser-local evidence labs.
Drag z-score cutoffs and watch shaded probability regions respond across left, right, between, and two-tail questions.
Draw unusual populations, follow individual samples, and watch the distribution of sample means take shape through repeated simulation.
Build datasets, compare your line with least squares, and inspect residual, ANOVA, extrapolation, and variance diagnostics.
Practice the complete evidence workflow and diagnose hidden data-quality, model, and interpretation challenges across the course.
Explore how degrees of freedom shape tail areas, find critical values, and connect shaded probabilities to worked mathematics and Excel formulas.
Drag decision cutoffs, change sample size, and connect sampling distributions to Type I error, Type II error, and statistical power.
Turn a uniform random number into a simulated outcome. Trace the inverse CDF for Normal, Exponential, Poisson, Uniform, and Binomial models, then compare repeated samples with theory.
BUS-3150 · Operations Analysis
Build a model, see its geometry, and test how the best decision changes.
Add constraints, reveal the feasible polygon, and drag the objective function to discover the optimum rather than merely calculate it.
Build three-variable constraints, rotate the feasible solid, and move the objective plane to see how an optimum emerges in three dimensions.
Move from prediction to model to recommendation in four browser-local labs: LP sensitivity, network and integer choices, simulation risk, and forecasting carried into inventory.
Simulate a shared waiting line with one or more servers, choose arrival and service-time distributions, and explore queue-performance measures.
Turn a uniform random number into a simulated outcome. Trace the inverse CDF for Normal, Exponential, Poisson, Uniform, and Binomial models, then compare repeated samples with theory.
Build an editable uncertainty model, follow one trial, and compare thousands of outcomes. Explore Sanotronics profit and risk, or create your own model and save it for another session.
MGMT-4570 · Lean Operations Management
Map how work flows today, find sources of delay, and explore a better future state.
Map the value stream, test whether measurements are trustworthy, and investigate process changes with fixed-baseline control charts. Three focused tools for existing Lean lessons.