The Turnitin Score: A Statistical Analysis

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Task 2 At a large university in the UK a researcher wanted to look at the effect that using Turnitin to detect non-original text (i.e. copied text) had on student marks. The researcher selected a sample of final year projects from students on a degree course in Business Studies and a degree course in Computing. A total of 98 projects were selected and for each student the Turnitin score (as a %) for a draft submission and the final submission were noted as well as the student's course and their final project mark. To help structure the research the following research questions were selected: 1.Does the course that the student is taking make a difference to the Turnitin score of the final project submission? The amount of people in each set is a little out of whack, but it's only a 3:1 ratio, so some analysis can hold some good data points. The business studies people (course zero), had an average final mark of 60.71 while the computing people had a final score of 57.84. The average overall score was 58.54. The business studies people drive up the average but not by much because they make up only roughly a fourth of the overall sample. As such, the overall average is much closer to the computing group's average rather than the business studies folks. As for what the question is asking, the final TurnItIn score of the business studies group was 7.88 while for computing it was 11.34…so the computing group clearly did better. This trend holds with the draft copy for

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