Machine Learning

Hypothesis Testing


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About this course

Hypothesis Testing is one of the most important concepts in Statistics because it determines if something happened, if certain treatments have positive effects, if groups differ from each other, or if one variable predicts another. In this course, we will comprehensively learn about Hypothesis testing. We will start with Type I and Type II errors and then look closely at the T-test.


  • Hypothesis Testing
  • T-test

Course Syllabus

Hypothesis Testing

  • Type 1 and Type 2 Errors
  • Student's T Test
  • Random sample and population size
  • Independent T-test Two Sample
  • T-test Outcome
  • Paired Test for Student's Score

Course Certificate

Get Hypothesis Testing course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate

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