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Module 1 · Descriptive Statistics · Topic 1

What is Statistics?

Statistics Defined. Statistics is the science of collecting, organizing, analyzing, and interpreting data to make informed decisions. It provides tools to transform raw data into useful information.

Two Branches. Descriptive statistics summarizes and describes data you already have. Inferential statistics uses sample data to draw conclusions about a larger population.

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Key formulas

From the Descriptive Statistics formula sheet

  • Mean: xbar = sum(x_i) / n — The arithmetic average of a data set.
  • Sample Variance: s^2 = sum((x_i - xbar)^2) / (n - 1) — Average squared distance from the sample mean with Bessel correction.

See the full formula reference

Worked example

Real-World Example

A university surveys 500 students about sleep habits. Reporting that the average sleep time is 6.8 hours is descriptive statistics. Concluding that all students at the university average about 6.8 hours is inferential statistics.

When to use it

Why It Matters

Statistics is everywhere: medical research, business decisions, sports analytics, and social science. Understanding it helps you evaluate claims and make better decisions.

Related glossary terms

  • Outlier: A data point that is unusually far from the rest of the data. Example: In 2, 4, 5, 6, 50, the value 50 is a likely outlier.

Browse the full glossary

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Related in-depth guides

  • Understanding Standard Deviation: What It Measures and Why It Matters7 min read
  • How to Choose the Right Statistical Test8 min read

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