Course Content

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

Course Content


The null hypothesis of a test always predicts no effect or no association between variables in statistical hypothesis testing, whereas the alternative hypothesis outlines your research prediction of an effect or relationship.

Null hypothesis is a statistical hypothesis that is used to reject the null hypothesis. The alternative hypothesis is a statistical hypothesis that allows us to accept or reject the null hypothesis.

A null hypothesis is a statistical hypothesis that states that no difference exists between specific features of a population (or data-generating process). A gambler, for example, would be curious about the fairness of a game of chance.

Make a positive statement out of the questions, such as there is a relationship (correlation studies) or a difference between the groups (experiment studies), and you have the alternative hypothesis.

The null hypothesis is useful because it may be used to determine whether or not two measurable events have a relationship. It can tell the user whether the outcomes are due to chance or are the consequence of controlling a phenomenon.

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