Descriptive Statistics Calculator

Descriptive statistics provides clear, concise summaries of data, making complex information easy to grasp at a glance. By answering questions like “What are the key characteristics of our survey respondents?” or “How prevalent are specific symptoms in this group?”, it helps researchers and decision-makers understand their data’s most important features.

At its core, the purpose of descriptive statistics is to distill large datasets into a few meaningful measures. For example, you might ask, “What is the average height of people in this region?” or “What percentage of respondents have ever tried caffeine?” You can also explore individual characteristics—such as age, income or test scores—by using these summary techniques.

Descriptive statistics fall into three main categories:

1. Central Tendency
   • Mean (arithmetic average)
   • Median (middle value)
   • Mode (most frequent value)
2. Dispersion
   • Range (difference between highest and lowest values)
   • Variance (average squared deviation from the mean)
   • Standard Deviation (square root of variance)
3. Distribution Shape
   • Frequency Histograms (visual representation of how data values are distributed)

Together, these tools transform raw numbers into actionable insights, revealing patterns, trends and outliers within any dataset.

 —

This calculator will produce specific descriptive statistics from a given data set.

Generate random data by pressing "Generate"
or
Enter values separated by commas such as 1, 2, 4, 7, 7, 10, 2, 4, 5.
Then press "Run"