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InferForge

AP-Statistics inference for ages 15–18: a sampling-distribution simulator (CLT, histogram) + confidence-interval coverage, on a deterministic seeded sim with exact true moments — no AI near the stats. Text-forward.

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In planning Swift 6 · SwiftUI · FoundationModels CCSS Math (Statistics & Probability) AP Statistics Hero color: #37474F

Distributed-narrative cast

Meet the cast

InferForge's adapted-DN-S cast (ages 15–18, realistic personas — no mascots, per R-OLDER-TEEN-DN-ADAPTED) each embody one inference primitive; mentor Professor Solano sets the investigation and guides the inference.

S

Samira

Sampling distribution — one sample is a glimpse; many samples make a shape

D

Dev

The Central Limit Theorem — averages pile into a bell even when the data doesn't

L

Lena

Confidence interval — an honest range, not a false-precise single number

T

Tomas

Hypothesis test & p-value — how surprising is this if nothing's going on?

C

Corah

Sampling bias — who got left out changes the answer

K

Kiran

Correlation vs. causation — moving together isn't one causing the other

S

Sofia

Variability — the spread matters as much as the average

M

Malik

Significance & error — Type I vs Type II: which mistake are you risking?

Y

Yara

Randomisation — random sampling and assignment are what let you generalise

P

Professor Solano

(Mentor) — sets the investigation and guides the inference

What's distributed-narrative methodology? →

What's inside

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Learning goal

AP-Statistics inference for ages 15–18: a sampling-distribution simulator (CLT, histogram) + confidence-interval coverage, on a deterministic seeded sim with exact true moments — no AI near the stats. Text-forward.

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Question kits

16 curriculum-aligned kits × 25 questions = 400 questions per app, mapped to recognized standards.

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On-device AI mentor

FoundationModels-powered hints, feedback, and adaptive difficulty — all running locally.

Mentored by Professor Solano — on-device AI, no data leaves the device.

How InferForge handles your kid's data

  • ✅ All progress, settings, and AI-generated content stays on the device
  • ✅ No analytics, no tracking, no third-party SDKs
  • ✅ No ads, no in-app purchases — you pay once
  • ✅ COPPA compliant under the 2026 FTC amendments
  • ✅ Parental controls + session limits + content filters built in

Full parent privacy guide →

Built with ForgeKit

InferForge runs on ForgeKit — the open-source Swift Package Manager framework that powers every Spark & Anvil app. ForgeKit ensures consistent accessibility, COPPA compliance, and design language across the portfolio, so your kid's progress and preferences feel coherent across every app they touch.

Coming to the App Store

InferForge is in active development. Email us to hear when it ships — no marketing, no spam, just a one-shot launch announcement.

Email me at launch

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