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Curricular information is subject to change
On completion of this module students will be able to:
1. Set up and critically analyse data sets in both a parametric and non-parametric way for two and more samples;
2. Build and validate statistical models with continuous response variables and multiple predictors (both categorical and continuous) using ANOVA and ANCOVA;
3. Use multiple regression, partial least squares regression and principal component regression to determine the relationship between multiple variables and to allow prediction of a score of one variable based on the scores on several other variables;
4. Communicate effectively research findings in a clear concise manner using correct terminology based on output from R.
Student Effort Type | Hours |
---|---|
Lectures | 20 |
Autonomous Student Learning | 80 |
Total | 100 |
Not applicable to this module.
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
Not yet recorded.
Name | Role |
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Mr SEAN LACEY | Tutor |
Ms Laura Rice | Tutor |