Choosing the Right Measure of Central Tendency:
| Scenario | Best Measure | Why? |
|---|---|---|
| Data with no extreme values | Mean | Uses all data, good for further calculations |
| Data with outliers | Median | Not influenced by extreme values |
| Data with repeated values | Mode | Shows most common value |
| Categorical data (colors, brands) | Mode | Only measure that works for non-numeric data |
| Symmetrical distribution | Mean = Median | Both work well |
| Skewed distribution | Median | Better represents "typical" value |
Interpreting Data Distributions:
- Symmetric distribution: Mean = Median = Mode
- Positively skewed (right-skewed): Mean > Median > Mode (tail on right)
- Negatively skewed (left-skewed): Mean < Median < Mode (tail on left)
Practical Applications:
| Field | Use of Central Tendency |
|---|---|
| Education | Average test scores (mean), middle student performance (median) |
| Business | Most common purchase (mode), average sale (mean) |
| Healthcare | Average patient recovery time (mean), typical wait time (median) |
| Sports | Average points per game (mean), most frequent score (mode) |