Course Content

Course Content


Standard deviation and variance are two statistical measures that help us understand how data is distributed in a group. Standard deviation is the most commonly used measure of dispersion. It tells us about how much the data varies from the average value.

  • Standard deviation measures the average distance from the mean, while variance measures the average distance from the median.
  • The standard deviation is a measure of how far away an individual data point is from the mean, while variance is a measure of how far away individual data points are from each other.

The standard deviation of a bunch of numbers is the distance between them and the mean. The variance is a measure of how much each point deviates from the mean on average. The square root of the variance is standard deviation, whereas variance is the average of all data points within a group.

Calculate the square root of the variance, which is 3.72, to get the standard deviation. When comparing the dispersion of two distinct data sets with about the same mean, standard deviation is beneficial.

In statistics, the two most essential metrics are variance and standard deviation. Standard deviation is a measure of the distribution of statistical data, whereas variance is a measure of how data points differ from the mean.

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere