Summary Statistics Calculator

Enter your data set as comma- or space-separated numbers, choose Sample or Population, and get a full summary statistics report — including count, mean, median, mode, standard deviation, variance, min, max, range, and quartiles. Paste data straight from a spreadsheet or type it in manually.

Choose Sample if your data is a subset of a larger population. Choose Population if your data represents the entire group.

Enter numbers separated by commas, spaces, or new lines. You can paste directly from a spreadsheet.

Results

Mean (Average)

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Count (n)

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Sum

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Median

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Mode

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Standard Deviation

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Variance

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Minimum

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Maximum

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Range

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Midrange

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Q1 (25th Percentile)

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Q3 (75th Percentile)

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Interquartile Range (IQR)

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Data Distribution

Results Table

Frequently Asked Questions

What are descriptive statistics?

Descriptive statistics are numeric summaries that describe the key features of a data set. They include measures of central tendency (mean, median, mode), measures of spread (standard deviation, variance, range), and positional measures (quartiles, min, max). They help you quickly understand the shape and distribution of your data without drawing broader conclusions about a population.

What is the difference between sample and population standard deviation?

Population standard deviation divides the sum of squared deviations by N (the total count), while sample standard deviation divides by N−1 (known as Bessel's correction). Use population when your data represents the entire group you're studying. Use sample when your data is a subset and you're estimating the true population variability — this correction reduces bias in the estimate.

How do I enter data into the calculator?

Type or paste numbers separated by commas, spaces, or new lines. For example: '4, 7, 13, 2, 1' or '4 7 13 2 1'. You can copy a column directly from a spreadsheet application like Excel or Google Sheets and paste it into the data field — the calculator will parse it automatically.

What is the interquartile range (IQR)?

The IQR is the difference between the third quartile (Q3, 75th percentile) and the first quartile (Q1, 25th percentile). It measures the spread of the middle 50% of your data and is resistant to outliers. A larger IQR indicates greater variability in the central portion of the data set.

What does the median tell me that the mean doesn't?

The median is the middle value of a sorted data set, while the mean is the arithmetic average. The median is not affected by extreme outliers or skewed data, making it a better measure of central tendency when your data has large outliers. If the mean and median differ significantly, your data is likely skewed.

What is the midrange?

The midrange is the average of the minimum and maximum values in a data set — calculated as (Min + Max) / 2. It gives a quick sense of the center of the data's full extent, but it is highly sensitive to outliers since it relies entirely on the two most extreme values.

Can this calculator handle large data sets?

Yes. You can paste data sets with hundreds or thousands of values directly from a spreadsheet. The calculator processes all values and generates the full set of summary statistics. For very large data sets, pasting from a spreadsheet column (one value per line) is the easiest input method.

What happens if my data has multiple modes?

When a data set has multiple values that appear with equal highest frequency, it is called multimodal. This calculator reports the smallest modal value in the Mode field. If all values appear exactly once (no repeats), there is no mode — the calculator will display 'N/A' in that case.

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