# Hypothesis Testing

> Hypothesis testing made visual: p-values, Type I/II errors, power. Offline.

Canonical page: [https://chrome-stats.com/d/com.sanca.hypothesistesting](https://chrome-stats.com/d/com.sanca.hypothesistesting)

## Overview

- **ID:** `com.sanca.hypothesistesting`
- **Platform:** Android
- **Type:** Android app
- **Status:** Available
- **Publisher:** UKM APPS
- **Category:** EDUCATION
- **Downloads:** 7
- **Version:** 1.4
- **Last updated:** 2026-07-24
- **First published:** 2026-06-15
- **Publisher country:** ID
- **Size:** 5.51 MB
- **Data as of:** 2026-09-12
- **Store listing:** [Google Play Store](https://play.google.com/store/apps/details?id=com.sanca.hypothesistesting)
- **Website:** [https://ukmapps.com/](https://ukmapps.com/)
- **Privacy policy:** [https://hypothesistesting.anvil.app/](https://hypothesistesting.anvil.app/)

## Description

Understand hypothesis testing the way it actually works — not as a formula to memorize, but as a clear line of reasoning you can see.<br><br>Hypothesis Testing is a compact, fully offline app that turns the core ideas of statistical inference into interactive diagrams. Whether you are a student meeting p-values for the first time, revising before an exam, or a professional who wants a clean visual reference, this app makes the logic click.<br><br>WHY IT&#39;S DIFFERENT<br>Most resources just throw equations at you. This app shows you the two distributions, shades the errors, and lets you move the sliders — so you can watch how every choice (your significance level, your sample size, the size of the real effect) changes the outcome.<br><br>WHAT&#39;S INSIDE<br><br>• Concept — The whole framework explained simply with the courtroom analogy: the null hypothesis is &quot;innocent until proven guilty.&quot; Covers H₀ vs H₁, the test statistic and p-value, the decision rule, Type I and Type II errors, statistical power, and one- vs two-tailed tests. Clean, offline formulas.<br><br>• Decide — Enter a test statistic, choose a tail and your significance level α (preset or custom), and instantly get the p-value, the critical value(s), and a clear Reject / Fail-to-reject verdict — with the null curve and rejection region drawn for you.<br><br>• Errors &amp; Power — The signature diagram: two bell curves (H₀ and H₁) side by side, with α (red), β (amber) and power (emerald) shaded. Drag the sliders for effect size, sample size, α and tail, and watch the trade-off between the two kinds of error in real time.<br><br>• Simulate — Run the same experiment hundreds of times and watch the rejection rate settle near α when H₀ is true, or near the power when H₁ is true. The clearest way to feel what these numbers really mean.<br><br>• Examples — Everyday situations framed as hypothesis tests: a courtroom trial, a new medicine, a smoke alarm. See how the same logic shows up everywhere.<br><br>KEY CONCEPTS YOU&#39;LL MASTER<br>• Null and alternative hypotheses (H₀, H₁)<br>• p-values and statistical significance<br>• Critical values and rejection regions<br>• Type I errors (α) and Type II errors (β)<br>• Statistical power (1 − β) and effect size<br>• One-tailed vs two-tailed tests<br>• How sample size drives everything<br><br>BUILT TO BE SIMPLE<br>• 100% offline — no account, no internet required<br>• Fast and lightweight — diagrams drawn natively, tiny download<br>• Clean, distraction-free &quot;Wine Emerald&quot; design<br><br>Perfect for students of statistics, psychology, biology, business, data science and the social sciences — and for anyone who has ever wondered what a p-value actually means.<br><br>Stop memorizing. Start seeing how hypothesis testing works.

## Rankings

- #2,882,940 — Overall

## Permissions and access

### Permissions

- `android.permission.ACCESS_ADSERVICES_AD_ID`
- `android.permission.ACCESS_ADSERVICES_ATTRIBUTION`
- `android.permission.ACCESS_ADSERVICES_TOPICS`
- `android.permission.INTERNET`
- `com.android.vending.CHECK_LICENSE`
- `com.google.android.gms.permission.AD_ID`

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Source: [Chrome-Stats](https://chrome-stats.com/d/com.sanca.hypothesistesting)
