MYP1 Mathematics
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Choosing the Best Measure of Central Tendency: Mean, Median, or Mode

Most Suitable central tendency. Best IB MYP & IB DP Tuition | Math & Science Online and Home Tutoring

 

 

 

Choosing Between Mean, Median, and Mode

Measure What It Tells When to Use It Example
Mean The average (total ÷ number of values) When the numbers are close together and there are no outliers Average test scores
Median The middle number When there are outliers or very large/small numbers Average income in a town
Mode The most frequent number When you want the most popular or repeated value Most common shoe size in a class
An outlier is a value in a data set that is much higher or much lower than most of the other values. It stands out and doesn’t fit the general pattern.

 Example:

Data set:
5, 6, 6, 7, 8, 9, 100

✅ Most of the numbers are close together.
❌ But 100 is way higher — it’s an outlier.

 

Which Measure Should You Use?

1. Your data is evenly distributed, no outliers

Choose: Mean
❌ Median
❌ Mode


2. Your data has extreme values or outliers

Choose: Median
❌ Mean
❌ Mode


3. You’re working with categories or non-numerical data

Choose: Mode
❌ Mean
❌ Median


4. You want the average value of test scores

Choose: Mean
❌ Median
❌ Mode


5. You want the middle income in a city with very rich and very poor residents

Choose: Median
❌ Mean
❌ Mode


6. You want the most popular shoe size in a store

Choose: Mode
❌ Mean
❌ Median


 

 

7. You want to find the most common birthday month in a class

Choose: Mode
❌ Mean
❌ Median


8. You’re analyzing salaries, and there’s a billionaire on the list

Choose: Median
❌ Mean
❌ Mode


9. You want the typical number of goals scored per match across a season

Choose: Mean
❌ Median
❌ Mode


10. You’re looking at the favorite ice cream flavors of students

Choose: Mode
❌ Mean
❌ Median


11. You want to describe the center of a small, symmetric data set

Choose: Mean
❌ Median
❌ Mode


12. You want to describe housing prices, but one house is a mansion

Choose: Median
❌ Mean
❌ Mode