Degrees of freedom are a fundamental concept in statistics, representing the number of independent observations or variables available for analysis. Understanding degrees of freedom is crucial for accurate interpretation of effect sizes and statistical tests. This crash course simplifies the concept with a practical example, explaining its importance in data analysis.