Standard Deviation and Double Degree Essay

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1.0 Introduction

This report will cover the distribution of final exam results for BSB123 and what factors influence the results. Factors that will be considered are the gender of the student, whether the student is studying a double or single degree, the results from the weekly quiz’s and the grade achieved on the mid semester report. The presence of outliers will be determined to help analyse the accuracy of the data. There are an infinite number of internal and external factors that contribute to the outcome of a single exam result. Beaty, & Barling (1982) explains how factors such as stress and anxiety can contribute to low test results and they give several self help solutions of how to boost ones success. This report will …show more content…
Correlation for single degree student are 0.514 which is 51% of the variation compared to correlation of double degree students are 0.578 which is 58% of the variation. Further information relating to this discussion can be found in the appendix labelled figure 2.0.

6.0 Conclusion

After the brief analysis of the exam results it can be seen that some of the factors discussed do impact the exam results while others do not. The data set was seen as having a right skewed distribution with no outliers. Gender appeared to have no impact on the exam results. Students in a double degree average a score of 4.61% higher than other students. Quiz results showed a good indication of what a student’s exam results would be. The report results had almost no bearing on exam results. This report although brief has offered some insight into what factors impact final exam results for student’s studying BSB123.

References

Beaty, D. & Barling, J.(1982) Positive exam results—Without stress Retrieved from: http://www.sciencedirect.com.ezp01.library.qut.edu.au Baragona,R, Battaglia, F, and Poli, I. (2011). Evolutionary Statistical Procedures:
Statistics and Computing, (pp 159-197). Retrieved from: http://link.springer.com .ezp01.library.qut.edu.au

Appendix

The Z score formula, how outliers
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