Cross-Tabulations and Chi-Square Tests for Planners and Analysts

When analyzing survey results, demographic shifts, or urban planning data, understanding the relationships between categorical variables is essential for making informed decisions. This text-based course guides you from statistical basics to confidently conducting and interpreting cross-tabulations and chi-square tests. What you'll learn: - Understand the fundamentals of categorical data and contingency tables - Create and interpret cross-tabulations to identify patterns between variables - Calculate and analyze expected versus observed frequencies - Perform chi-square tests of independence to determine statistical significance - Verify statistical assumptions and avoid common analytical pitfalls - Apply modern data analysis workflows to interpret statistical outputs accurately You will start with core terminology and foundational definitions before moving step-by-step through practical calculations, software output interpretation, and real-world scenarios. This course is designed for beginners, urban planners, policy analysts, and aspiring data researchers with no prior advanced statistical background. Start reading today to unlock the power of categorical data analysis.