Test of Hypothesis, Simplified Engineering Approach

FRIENDLY GUIDE TO FORMULATE AND TEST STATISTICAL HYPOTHESIS. ENGINEERING APPROACH IS ADAPTED WITH LOTS OF EXAMPLES


Course content:

Section 1: Introduction to Hypothesis Testing
Section 2: Tests on Population Mean, Population Variance is Known
Section 3: Tests on Population Mean, Population Variance is Unknown
Section 4: Errors in Hypothesis Testing
Section 5: Tests on Population Variance
Section 6: Minitab Software Tutorial
Section 7: Using Matlab for Hypothesis Testing
Section 8: Appendices


Description:

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. 



This course is for:

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


Requirements:

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

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