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📊 Kalkulator Rata-Rata

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📊Kalkulator Rata-Rata

Mean, Median, Mode, and Standard Deviation Explained

There are three common measures of "average" — each tells a different story about your data:

Standard deviation measures how spread out values are from the mean. A small standard deviation means values cluster near the mean; a large one means they are spread out widely. For the dataset [10, 20, 30]: mean = 20, standard deviation = 8.16.

Frequently Asked Questions

When should I use median instead of mean?+
Use the median when your data has extreme outliers or is skewed. For example, when reporting average household income, the median is more useful than the mean because a few billionaires would pull the mean up dramatically while most people earn far less.
What is standard deviation used for?+
Standard deviation measures the dispersion of data. In finance, it measures investment volatility. In testing, it helps identify whether scores deviate significantly from the average. About 68% of values in a normal distribution fall within 1 standard deviation of the mean.
What is the difference between population and sample standard deviation?+
Population standard deviation (σ) divides by n; sample standard deviation (s) divides by n−1. Use population std when you have data for the entire group; use sample std when your data is a sample from a larger population.
What is the range?+
The range is the simplest measure of spread: max value minus min value. For [5, 10, 15, 20]: range = 20 − 5 = 15. It is sensitive to outliers but easy to understand.

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