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.

### Measures of Dispersion

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

### Measures of Central Tendency

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

### Other Descriptive Statistics

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

### GO FURTHER

Step-by-Step Solutions for Statistics

Statistics Web App

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### RELATED EXAMPLES

• Random Variables
• Statistical Inference
• ### RELATED WOLFRAM RESOURCES

• Wolfram Language: Descriptive Statistics