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Curricular information is subject to change
1. Critically review basic concepts and models of experimental design.
2. Analyse the results of a designed experiment in order to conduct the appropriate statistical analysis of the data.
3. Interpret statistical results from an experiment and report them in non-technical language
Topics covered may include: The basic concepts of experimentation,what makes a good variable variable, hypothesis testing, probability, randomization, confidence intervals. Fundamental equations for regression, t-test, correlation, chi square, analysis of variance (ANOVA) and the underlying assumptions.
Student Effort Type | Hours |
---|---|
Lectures | 36 |
Specified Learning Activities | 24 |
Autonomous Student Learning | 50 |
Total | 110 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: weekly assignments and a final project. | Throughout the Trimester | n/a | Graded | Yes | 100 |
Resit In | Terminal Exam |
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Spring | No |
• Feedback individually to students, post-assessment
Not yet recorded.