Test of Hypothesis, Simplified Engineering Approach

Friendly guide to formulate and test statistical hypothesis. Engineering approach is adopted with lots of examples.
Rating: 4.7 out of 5 (78 ratings)
6,839 students
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Proper hypotheses formulation
Understanding the test statistics
Utilizing confidence intervals and P-Values
Understanding of concerns about type I and type II errors
Make usage of Minitab software to check hypotheses
Use Matlab coding to check for hypotheses


  • Pre-knowledge in elementary probabilities and/or statistics
  • Understanding probability distributions, specially normal distribution


In this course, students will be introduced to main aspects of statistical hypotheses. A simple engineering approach is adopted with several of examples to explain ideas. The course explains and develop skills toward proper hypotheses formulation and testing methodologies. Major points about hypotheses on the mean and variance of a population are covered. 

Finally, we make the use of both Minitab and Matlab software to help us quickly perform our tests. Friendly tutorials are given with examples for both software. 

Who this course is for:

  • Students with concerns to statistics field
  • Engineers doing experiments related to statistical measures


Research Scientist
Misbah Aiad
  • 4.7 Instructor Rating
  • 78 Reviews
  • 6,839 Students
  • 1 Course

I am a Research Scientist at state government of Victoria, Australia. I have completed my PhD in Electrical and Electronic Engineering at Nanyang Technological University, Singapore. My experience and research interests are in areas of applied statistics, optimization engineering, machine learning, modern energy technologies.