Kalkulator Rata-rata, Median & Modus
Hitung tiga ukuran tendensi sentral dan pahami posisi setiap nilai dalam dataset secara visual.
ใ Distribution with Central Measures
Enter your data and calculate to see the visualization.
๐ Central Tendency
Mean, Median & Mode Explained
The three measures of central tendency describe the "center" of a dataset, but they do so differently:
-
Mean (ฮผ) โ Add all values, divide by count.
Best for symmetric, unskewed data without outliers.
ฮผ = ฮฃxแตข / n - Median โ Sort data, pick the middle value. Resistant to outliers. Best for skewed distributions (e.g., income data).
- Mode โ The value(s) that appear most often. Useful for categorical data or finding the most common outcome.
Mean = (xโ + xโ + ... + xโ) / n
When to use which?
- Symmetric data: Mean โ Median โ Mode
- Right-skewed (outliers high): Mean > Median
- Left-skewed (outliers low): Mean < Median
โ FAQ
Frequently Asked Questions
Yes! A dataset is bimodal if two values
appear equally often and most frequently. It's
multimodal if there are more than two. If
all values appear once, there's no mode.
A few very high earners can dramatically increase the mean,
making it unrepresentative of the "typical" person. The
median (middle value) is not affected by extreme values, so
it better represents the center of the population.
For n even, the median is the average of the two middle
values: (x[n/2] + x[n/2+1]) / 2 after sorting.