Free Statistics Tutorial - Test of Hypothesis, Simplified Engineering Approach
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Free Statistics Tutorial - Test of Hypothesis, Simplified Engineering Approach

Free Statistics Tutorial - Test of Hypothesis, Simplified Engineering Approach

Test of Hypothesis, Simplified Engineering Approach


Friendly guide to formulate and test statistical hypothesis. Engineering approach is adopted with lots of examples.

  • 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

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.

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Statistics is emerging as a key discipline for businesses looking to better navigate a complicated landscape. When businesses take into account statistical evidence for their market influence and success, they make smarter, more efficient plans for the future. Statistical analysis takes the guesswork out of crucial decision making.


Requirements

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

Who this course is for:

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

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Free Online Course - Test of Hypothesis, Simplified Engineering Approach

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