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Getting Started with Statistics 224

Welcome to Statistics 224! This guide will help you get up and running quickly.

📚 What You'll Learn

In this course, you'll master:

  • Statistical inference - Drawing conclusions from data
  • Hypothesis testing - Making decisions with data
  • Effect sizes - Understanding practical significance
  • R programming - Industry-standard statistical software
  • Data analysis - Real-world problem solving

🎯 Course Structure

1. Foundational Concepts

Build intuition about sampling distributions and statistical inference

2. Parametric Tests

Master t-tests, ANOVA, and regression analysis

3. Non-Parametric Tests

Learn alternatives when assumptions fail

4. Categorical Data Analysis

Analyze frequencies and proportions with chi-square tests

🚀 Quick Start Steps

Step 1: Set Up R

→ Follow the R Setup Guide

Step 2: Try Interactive Modules

→ Explore the Coffee Simulation to build intuition

Step 3: Learn the Decision Process

→ Use the Decision Tree to choose tests

Step 4: Start Analyzing

→ Follow the definitive workflows for each test

📖 How to Use This Documentation

Navigation Tips

  • Use the search bar (top) to find topics instantly
  • Left sidebar shows all sections - click to expand
  • Code blocks have copy buttons (top-right)
  • Links to modules open in new tabs

For Learning

Start with foundational concepts, work through examples sequentially

For Reference

Use search to find specific tests or procedures quickly

For Assignments

  1. Check Which Test?
  2. Go to that test's workflow
  3. Copy and adapt the R code
  4. Check Effect Sizes for interpretation

🎓 Interactive Learning

Hands-On Practice

Don't just read - interact! Our browser-based modules provide:

  • Immediate feedback
  • Visual demonstrations
  • Experimentation without consequences
  • Self-paced learning

Start here: Coffee Simulation

📊 Essential Resources

Must-Know Pages

Test Workflows

⚠️ Common Mistakes to Avoid

Watch Out For

  • Forgetting to check assumptions
  • Using wrong test for data type
  • Ignoring effect sizes
  • Not understanding what p-values mean
  • Claiming causation from correlation

We'll help you avoid these! Each workflow has troubleshooting sections.

💡 Success Tips

  1. Start early - Statistics takes time to sink in
  2. Use the modules - Hands-on beats passive reading
  3. Check assumptions - Every test has requirements
  4. Interpret effect sizes - Not just p-values
  5. Ask questions - Use office hours

🆘 Getting Help

Quick Help

  • Search this documentation
  • Check test-specific troubleshooting sections
  • Try relevant interactive module

Need More Support

  • Office hours
  • Study groups
  • Course discussion board

✅ Your First Assignment

Try this to get comfortable:

  1. Set up R/Posit Cloud
  2. Complete Coffee Simulation module
  3. Read through one test workflow
  4. Run the example code
  5. Check effect size interpretation

Time estimate: 1-2 hours

Ready to begin? → Set Up R | Try Interactive Modules