Examples for

Descriptive Statistics
Descriptive statistics are statistical measures of a dataset that describe, characterize and summarize its properties, such as shape, variability, size and central location. Wolfram|Alpha's rigorous statistical algorithms enable you to compute and characterize the properties of your data with lightning-fast speed.

Summary Statistics

Compute elementary descriptive statistics summarizing the properties of a dataset, such as maximum and minimum values or number of entries.

Calculate basic descriptive statistics for a dataset:

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Measures of Central Tendency

Compute common measures of central tendency, such as mean, median and mode, for a dataset.

Compute the mean of a dataset:

Compute the median:

Compute the geometric mean:

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Measures of Dispersion

Compute the measures of dispersion, such as variance or standard deviation, for a dataset.

Compute the variance:

Compute the standard deviation:

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Other Descriptive Statistics

Compute other common descriptive statistics, such as skewness and kurtosis, for a dataset.

Compute the skewness:

Compute the kurtosis:

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