Central Tendency: Comparison & Applications

Master when and how to use mean, median, and mode effectively

Welcome to Central Tendency Comparison! Learn when to use mean, median, or mode, explore their advantages and limitations, and master real-world applications.
📊 Mean Properties

Uses all data points, affected by extremes, best for symmetric distributions. Ideal for mathematical operations and comparisons.

Best for: Normal distributions, calculations
🎯 Median Properties

Represents typical value, resistant to outliers, excellent for skewed distributions. Shows the middle position in data.

Best for: Skewed data, robust analysis
🔥 Mode Properties

Shows most frequent value, can be multiple or none, ideal for categorical data. Represents popularity or commonality.

Best for: Categorical data, popularity
⚖️ Empirical Relationship

For moderately skewed distributions: 3 × Median ≈ Mode + 2 × Mean. This relationship helps validate calculations.

3 Median = Mode + 2 Mean