When conducting the analysis, you will apply techniques from
When conducting the analysis, you will apply techniques from
When conducting the analysis, you will apply techniques from descriptive analytics and visualisations; hence you will use various tables, graphs, and summary measures. Sometimes we refer to this type of analysis as “exploratory analysis”. When exploring data, we often produce more results than we eventually use in the final report, but by investigating the data from a number of angles, we can develop a much better ‘feel’ for the data: a deeper understanding of the data. In order to prepare a reply to Claudia, you will need to examine and analyse the data set thoroughly.
The following guidelines for each question should be considered carefully:
1. A summary of average scores: To answer this question you should firstly calculate the average student scores for the 8 core units and then analyse them. You should derive summary measures and check for unusual data along with producing any suitable graphs and tables.
2. Core unit 4 score by gender: Investigate any particular relationship(s) between core unit 4 scores and gender.
3. Origin by gender: Explore any particular relationship between student origin and gender.
4. Core unit 4 grade by attendance rate: Research any particular relationship between student grades in core unit 4 and their attendance rate in lectures and seminars. You need to convert core unit 4 scores to grades and total number of attendances in lectures and tutorials into three rates.
5. Core unit 4 score by total attendance: Research any particular relationship between student scores in core unit 4 and their total number of attendances.
The analysis you submit should be on the provided 5 sheets (Q1 to Q5). Where possible, it is always useful to produce both numerical and graphical statistical summaries as sometimes, something is revealed in one that is not obvious in the other. Poorly presented, unorganised analysis or excessive
output will be penalised.
It is usual, when writing any professional document, to caption any tabular or graphical output professionally. For example, TABLE 1: Summary statistics for the variable Average Core Score.
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