Course Content

  • Z-Table, T-Table , Chi-Square Table

Course Content

FAQs

An outlier is a data point that does not fit the pattern of other values in the dataset. Outliers can be used to identify unusual patterns and trends.

There are many ways to detect outliers in a dataset, but the most common methods are:

  • Value-of-the-Median (VOM)
  • Median Absolute Deviation (MAD)

Outliers are a statistical anomaly that is not in line with the rest of the data. They can be defined as a group or an individual that has a very high or low value when compared to other values. Outliers are often discussed in terms of their effect on data and statistics, but they can also impact other aspects of society and culture.

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