Level: III
Semester: Not offered in 2018/2019
Number of Credits: 3
Prerequisites: MATH 2275

 

Course Description

The main objective of this course is to provide undergraduates with the ability to design and properly analyze experimental data. Statisticians contribute to experiments by helping to make them more efficient. In a designed experiment the scientist is free to fix and/or randomize and/or mix the levels of the exploratory variables. Design is about choosing the combinations of these levels at which to observe the response variable. The course will describe the various ways of structuring data to eliminate the effects of confusing factors so that the main factors of interest can be investigated more reliably. The course will be very practical involving the use of the packages MINITAB and R (and SPSS where possible). Theory will be studied but the emphasis will be on the practical interpretation of the data and appropriate models.

 

Assessment

Coursework                                                    50%
Final Examination (One 2-hr paper)           50%
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