A/B Testing Analytics Platform

Build a statistical testing platform to analyze experiments and determine significance

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Section 1: What is A/B Testing?

📖

EXPLAIN: Understanding the Concept

🧪 A/B Testing Basics

A/B Testing: Comparing two versions (A and B) to determine which performs better.

Example: Testing two website designs to see which gets more signups.

Control (A): Original version
Variant (B): New version
Metric: What you're measuring (conversion rate, revenue, etc.)
Statistical Significance: Is the difference real or just random chance?

👀

SHOW: Here's How It Works

👀 A/B Test Example

Control (A): 1000 visitors, 50 conversions (5.0%)
Variant (B): 1000 visitors, 65 conversions (6.5%)

Difference: +1.5 percentage points
Relative Improvement: +30%

But is this difference significant or just luck? Let's find out!

✍️

PRACTICE: Now You Build It!

✍️ Your Turn: Calculate Conversion Rates

Run the code to calculate conversion rates and relative improvement.

Code Editor

Initializing editor...

💻 Output:

Click 'Run Code' to see output here...