Free Descriptive Statistics Calculators
Calculate standard deviation, variance, mean, and other statistical measures.
Descriptive statistics summarize a dataset into interpretable numbers — and standard deviation is arguably the most important of them. Our Standard Deviation Calculator accepts any dataset, computes both sample and population standard deviation, and displays the full suite of descriptive measures: mean, median, mode, variance, range, sum, and count. Whether you are analyzing exam scores, quality control measurements, financial returns, or experimental data, this tool transforms raw numbers into meaningful statistical summaries in seconds.
Descriptive Statistics Calculators
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Coefficient of Variation Calculator
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Decile Calculator
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Dot Plot Calculator
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Five Number Summary Calculator
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Frequency Distribution Calculator
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Geometric Mean Calculator
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Harmonic Mean Calculator
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Histogram Calculator
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Interquartile Range (IQR) Calculator
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Kurtosis Calculator
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Mean Absolute Deviation (MAD) Calculator
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Mean Calculator (Arithmetic Average)
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Mean, Median, Mode, Range Calculator
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Median Calculator
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Midrange Calculator
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Mode Calculator
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Outlier Calculator
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Percentile Calculator
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Percentile Rank Calculator
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Quartile Calculator
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Range Calculator
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Relative Frequency Calculator
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Root Mean Square (RMS) Calculator
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Skewness Calculator
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Spearman's Rank Correlation Calculator
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Standard Deviation Calculator
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Standard Deviation Calculator
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Standard Error Calculator
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Stem and Leaf Plot Calculator
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Sum Calculator
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Variance Calculator
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Z-Score Calculator
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Understanding Data Spread
The mean tells you where the center of your data lies. Standard deviation tells you how spread out the data is around that center. Together, these two numbers summarize a dataset more informatively than any single data point can.
Standard Deviation Calculator
Paste or type your data values and the calculator returns sample standard deviation (s), population standard deviation (σ), variance, mean, median, mode, range, and count. It uses the correct formula for each — dividing by n−1 for samples and n for populations.
Sample vs. Population
If your data represents an entire population, use population standard deviation. If it is a sample from a larger population, use sample standard deviation (with Bessel's correction, n−1). Our calculator displays both.
Key Descriptive Measures
- Mean — Arithmetic average. Sensitive to outliers.
- Median — Middle value when sorted. More robust to outliers than the mean.
- Standard Deviation — Average distance from the mean. Low SD = tightly clustered; high SD = widely spread.
- Variance — SD squared. Useful in formulas but harder to interpret since units are squared.
Applications
Quality engineers set tolerance limits. Financial analysts quantify investment risk. Teachers analyze score distributions. Researchers report measurement precision. Our calculator serves all these use cases from one interface.
Frequently Asked Questions
Population standard deviation (σ) divides by n (total count) and is used when your data includes every member of the group. Sample standard deviation (s) divides by n−1 (Bessel's correction) and is used when your data is a subset of a larger population. The n−1 adjustment compensates for the underestimation that occurs when estimating population spread from a sample. Our calculator displays both values.
A low standard deviation means data points cluster tightly around the mean — the values are consistent. A high standard deviation means data points are widely spread — there is significant variability. For context, compare the SD to the mean: a SD that is 10% of the mean suggests low variability, while one that exceeds 50% of the mean suggests high variability.
Our Standard Deviation Calculator currently accepts individual data values. For grouped data with frequencies, enter each value the number of times it occurs (e.g., if the value 5 has frequency 3, enter 5 three times). The calculator will produce the correct standard deviation from the expanded dataset.
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