Statistics and Experimental Design


This module will provide the student with the statistical tools necessary to analyse industry related problems where data is generated.  The student will also be introduced to Experimental Design which is a technique used to study causal relationships by maximising the amount of useful information obtained with the minimum number of experiments. The application of these tools will allow the student to perform Problem-Solving activities and optimise products and processes using Six Sigma and/or other continuous improvement strategies.

Learning Outcomes

  1. Create an appropriate hypothesis test for a given problem

  2. Conduct appropriate statistical tests  on data 

  3. Evaluate the results and implications of statistical tests

  4. Specify an appropriate experimental design for a given application e.g. screening, optimisation, comparison etc.

  5. Create and interpret an experimental design (DOE)

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