Research -Q52

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Research Critique
 

For the report markers will be looking for an awareness of and ability to
 

1. Provide in 500 words a description (what) and critique (why appropriate, limitations) of the statistical techniques used in a journal paper within an industrial operational risk assessment. This is the only part of Assessment One with a word count, but penalties as described in notes of guidance will be applied to the overall mark.
 
2. Differentiate between different types of data
3. Generation testable hypotheses
4. Identify and perform correct inferential tests
5. Analysis and report quantitative output appropriately (accepting/rejecting hypotheses)
6. Provide a short critique of the research design (e.g. limitations)
 

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Related Services

 

Point 1 of the assessment: Provide in 500 words a description. This is standing on it’s own and not related to points 2-6 of the assessment. The idea is that you find (on the internet) a paper which is related to operational risk assessment and which uses some form of statistical analysis. You could use google or scholar with a set of keywords related to operational risk assessment and add “statistics” as a keyword in your search and see what comes up. For the paper you have found you describe what statistical techniques have been used, why these are appropriate and what the limitations might be.
 
Point 2-6 are related to a selected dataset (if you can not find your own use the larger dataset from BB). There is no word-limit on this part. For the dataset, you need to describe the data (point 2). After this you need to show your understanding of statistical techniques and you need to do this through at least three hypothesis (point 3). For each hypothesis you need to identify an appropriate statistical technique (point 4), and use these to generate results and provide an analysis (the hypothesis was correct or not and why), which is point 5. Finally, you need to provide a short discussion of potential limitations about what you have done, which could look at the sample size, techniques used and conclusions made. Again, if you use your own dataset I would be happy to advice on the appropriateness. In addition, if you want to confirm your hypothesis with me send me an email and I will provide feedback.

 
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