Dispersion Calculator

Enter your dataset as comma-separated numbers and choose whether it represents a population or a sample. The Dispersion Calculator computes your range, interquartile range (IQR), variance, standard deviation, mean absolute deviation (MAD), and coefficient of variation (CV) — all at once. Results update as soon as you click Calculate, giving you a complete picture of how spread out your data is.

Choose 'Population' if your data includes every member of the group, or 'Sample' if it's a subset.

Enter numbers separated by commas, spaces, or new lines.

Results

Standard Deviation

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Mean (Average)

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Variance

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Range

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Interquartile Range (IQR)

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Q1 (First Quartile)

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Q3 (Third Quartile)

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Mean Absolute Deviation (MAD)

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Coefficient of Variation (CV)

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Count (n)

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Minimum

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Maximum

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Dispersion Measures Overview

Results Table

Frequently Asked Questions

What is dispersion in statistics?

Dispersion describes how spread out or scattered the values in a dataset are around the central value (mean or median). High dispersion means the data points vary widely; low dispersion means they are clustered closely together. Common measures include range, variance, standard deviation, and IQR.

What is the difference between population and sample standard deviation?

Population standard deviation (σ) is used when your data represents an entire group and divides by N. Sample standard deviation (s) is used when your data is a subset of a larger population and divides by N−1 (Bessel's correction) to produce an unbiased estimate. If you're unsure, choose 'Sample'.

How is the interquartile range (IQR) calculated?

The IQR is the difference between the third quartile (Q3, the 75th percentile) and the first quartile (Q1, the 25th percentile): IQR = Q3 − Q1. It represents the spread of the middle 50% of the data and is resistant to outliers, making it useful when your dataset contains extreme values.

Why is dispersion calculated?

Dispersion tells you how reliable or consistent your data is. Two datasets can have the same mean but very different spreads — one might be tightly clustered while the other is wildly variable. Understanding dispersion helps in risk analysis, quality control, scientific research, and interpreting statistical results correctly.

What is the coefficient of variation (CV)?

The coefficient of variation (CV) expresses standard deviation as a percentage of the mean: CV = (SD / Mean) × 100. It allows you to compare the relative variability of datasets that have different units or very different means. A lower CV indicates less relative variability.

What is Mean Absolute Deviation (MAD)?

Mean Absolute Deviation (MAD) is the average of the absolute differences between each data point and the mean: MAD = Σ|xᵢ − x̄| / n. Unlike variance, it is expressed in the same units as the original data and is less sensitive to extreme outliers than standard deviation.

How do I calculate standard deviation from variance?

Standard deviation is simply the square root of the variance: SD = √Variance. So if the variance of a population is 182.2, the standard deviation is √182.2 ≈ 13.50. This calculator computes both values automatically from your entered data.

Can I paste data directly into the calculator?

Yes. You can type or paste numbers separated by commas, spaces, or line breaks into the Data Values field. The calculator automatically filters out any empty or non-numeric entries, so you don't need to clean your data manually before entering it.

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