Workshop & Stations
TeachFORGE.ai
Workshop / Statistics
Statistics Station
Explore descriptives, correlations, hypothesis tests, distributions, and simulations with live visual feedback — so chance and evidence stay visible in the lesson.
AI can draft. You decide what the class sees.
What Statistics is
Statistics is the Station for teaching chance, evidence, and distribution. Work through descriptives, correlation, hypothesis tests, confidence intervals, Q–Q plots, named distributions, and simulations — with charts and interpretation that stay visible beside the numbers.
That matters because statistics teaching collapses when it is only a calculator answer. Learners need to see shape, spread, evidence, and simulation — then talk about what the result means.
Why teachers use Statistics
Describe a sample
Means, IQRs, skew, and summaries that make a column discussable.
Test a claim
t, z, chi-squared, ANOVA, and non-parametric pathways with a narrative for the p-value.
Teach distributions
PDF and CDF views, shaded intervals, and z-score tools learners can watch.
Simulate chance
CLT, Monte Carlo π, and coin-flip style experiments the class can run again.
On TeachForge, Statistics is a Workshop Station — inference lives here; Data prepares the table beforehand.
Inside the Statistics Station
Like the rest of the Workshop, Statistics keeps controls and visual feedback in one teaching space.
- Workbench tabs — Data, Descriptive, Correlation, Hypothesis, Confidence Intervals, Q–Q, Distributions, Simulations
- Hypothesis suite covering common school and college tests, including paired and non-parametric options
- Correlation tools with Pearson, Spearman, and an OLS line you can show
- Interpretation narratives and worked examples beside the charts
- Parametric catalogue packages for distributions and simulations
- Advanced JSON, seed templates, export, and Whiteboard send
How a question becomes a statistical view
Load data or open a distribution / simulation package
Start from a table or a ready teaching object.
Choose the test, distribution, or simulation controls
The Station updates charts, SVG, and interpretation together.
Export, save, or send it live
Take the view to the board, into a question, or out as a file you own.
One distribution. Every version of it.
Statistics supports parametric packages for distributions and simulations, plus saved workbench JSON — so Normal, Binomial, CLT, and more can reopen with new parameters instead of being rebuilt each time.
Change it while you teach
Shift mean, spread, trials, or simulation settings and watch the visual answer.
Keep the structure, vary the claim
The same test pathway can host tomorrow’s dataset or a harder hypothesis.
Show chance, not only formulae
Simulations make repeated random processes visible in the room.
Stay close to assessment
Reuse charts and narratives inside Quest Ladder explanations.
Prefer starting from a cleaned table? Bridge in from Data, then keep inference work here.
Ready-made starts to open
Open a workbench tab, catalogue package, or seed template:
| Area | What you can open |
|---|---|
| Distributions | Normal; Binomial; Poisson; Student t; Chi-squared |
| Simulations | Central Limit Theorem; Monte Carlo π; Coin flip |
| Seed templates | Normal Distribution; CLT sampling mean; One-sample z-test; Linear regression; Chi-squared |
AI help, your way
Need a first draft? Use AI as an assistant — then review, edit, and approve before anything reaches learners.
Copy the prompt
Generate a ready-made prompt and paste it into the chat tool you already use.
Use your own GPU
Connect a local model endpoint in your settings and run generation on hardware you control.
Use your own API key
Add your provider key in settings, choose the model, and generate with your own account.
AI can be wrong. That is exactly why a teacher stays in the loop.
Take the statistical view where teaching happens
- Whiteboard — put it on the live board and adjust it in front of the class
- Quest Ladder — drop it into questions and explanations
- Virtual Lab — reuse it inside interactive lab work
- Community — share what you built, and build on what other educators shared