Welcome to the General Data Science – Statistical Analysis (STATS) Layer

Welcome to Complex Data Insights (CDI) — a dynamic learning system where data science is taught through real questions, practical code, and critical thinking.

This guide — the General Data Science: Free Q&A Edition — continues your journey through the CDI ecosystem, now focusing on Statistical Analysis.

It’s built for learners who want to go beyond cleaning and visualizing data — and start making informed, data-driven decisions using core statistical methods in both Python and R.

Each Q&A walks you through not just the calculations, but also the interpretations that matter in real-world analysis.

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📘 What You’ll Learn

In this Statistical Analysis (STATS) layer, you’ll explore how to:

• ✅ Frame hypotheses and apply statistical reasoning
  
• 📈 Perform tests like t-tests, ANOVA, and correlation analysis
  
• 🔍 Understand p-values, confidence intervals, and assumptions
  
• 🧠 Interpret results and connect them to meaningful questions

All guides include:

• Side-by-side code in Python and R
  
• Real-world datasets used across multiple Q&A entries
  
• Step-by-step explanations to reinforce concepts and build intuition