Statistics

Covariance

Covariance measures how two variables vary together.

Meaning

What Is Covariance?

Covariance measures how two variables vary together.

Covariance measures how two variables vary together.

Examples

Examples of Covariance

1Positive covariance suggests they tend to increase together.
Understand

Formula and Key Points

Formula / rule
Cov(X,Y)=E[(X−μx)(Y−μy)]
  • Know the definition and standard notation for Covariance.
  • Be able to recognise or compute covariance in a small example.
  • Connect the concept to nearby topics in the same subject before using it in larger CSE problems.
CSE Connection

Why This Matters in Computer Science

Used in data analysis, machine-learning evaluation, experiments, monitoring and performance measurement.

FAQ

Covariance: Frequently Asked Questions

What is Covariance?

Covariance measures how two variables vary together.

Why is Covariance useful in computer science?

Used in data analysis, machine-learning evaluation, experiments, monitoring and performance measurement.