Course Content

Course Content


Statistical inference can be divided into two categories: statistical estimating and statistical hypothesis testing.

Statistical inference is the process of inferring attributes of an underlying probability distribution via data analysis. By testing hypotheses and producing estimates, inferential statistical analysis infers properties of a population.

Inferential statistics allows you to create predictions ("inferences") from data (for example, a chart or graph). Descriptive statistics describes data (for example, a chart or graph). Inferential statistics are used to generate generalisations about a population using data from samples.

Statistics can be divided into two types: (1) descriptive statistics and (2) inferential statistics.

The population of inference is the population (or universe) to which a sample survey's conclusions are supposed to generalise. Surveys are used to investigate demographic characteristics and establish broad generalisations.

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