Quantitative Research Report on data relevant to traffic fines and accident causes in the UAE

Quantitative Research Report on data relevant to traffic fines and accident causes in the UAE

Assessment 2: Quantitative Research Report

The report is designed to evaluate students’ ability to conduct and report quantitative research. Note the word limit penalties as described in notes of guidance.
Using an appropriate dataset (see link http://data.bayanat.ae/en_GB/dataset?q=TRAFFIC&sort=score desc, metadata_modified desc
), students will be required to examine relationships between independent and dependent variables, and when doing so, create and test at least three hypotheses. Broadly, students will be expected to perform the steps outlined in the marking criteria below (statistics).
It is essential that the Conclusion presents the findings in a way understandable to the lay audience who are not familiar with statistics, and it discusses the limitations of the study.

Before embarking upon this work, the assessment will be discussed fully in one of the sessions.
Marking Criteria
For the report, the marker will be looking to see evidence of the following:
An explanation of the chosen research questions. There should be at least three testable directional hypotheses.
For each hypothesis:
1. Identification of dependent and independent variables, and justification for the variables chosen
2. Comments on the distribution of data (e.g. outliers)
3. Clearly report descriptive data for the variables, including means and standard deviations where relevant
4. Rationale for choice of test
5. Report and interpret findings in the appropriate manner. Accept/reject hypothesis
In the report, it is essential that:
1. At least one test of association/correlation will be performed (e.g. parametric: Pearson’s r; non-parametric: Chi2)
2. At least one test of variance will be performed (e.g. ANOVA)
3. At least one test looking at sub-sampling into different groups
In the report, it is essential that the Conclusion section
1. Summarises findings in a way that is understandable to a lay audience and
2. Identifies weaknesses in the study such as limitations of the data set.
Finally, please note that sophisticated tests such as a MANOVA and/or a multiple regression can be incorporated, but are not essential.

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