Standard Deviation and Double Degree
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 focuses mainly on quantitative data that can be easily analysed and allows for clear observations to be given about the correlation each evaluated factor has on the final exam result.
2.0 Outliers
The first step in analysing the data is determining if outliers exists within the data. The presence of outliers must be evaluated because their existence could distort the data and make it inaccurate. In order to determine if outliers exist the average and standard deviation must be calculated in order to calculate the Z score, which will show, wither or not outliers exist. In this instance to outliers where found present in the data set as all of the data fell within the +3,-3 range, the largest positive outlier was 2.46 and the largest negative outlier was -1.90. It is important to note the even if any outliers where found they would not necessarily make the analysis more accurate as (Baragona, Battaglia, & Poli, 2011, p. 159-197) explain it all depends about the interpretation of the data.
3.0 Distribution of final exam results
This section shows the varying levels of final exam results from students in BSB123. The figure below shows the different grades from
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 focuses mainly on quantitative data that can be easily analysed and allows for clear observations to be given about the correlation each evaluated factor has on the final exam result.
2.0 Outliers
The first step in analysing the data is determining if outliers exists within the data. The presence of outliers must be evaluated because their existence could distort the data and make it inaccurate. In order to determine if outliers exist the average and standard deviation must be calculated in order to calculate the Z score, which will show, wither or not outliers exist. In this instance to outliers where found present in the data set as all of the data fell within the +3,-3 range, the largest positive outlier was 2.46 and the largest negative outlier was -1.90. It is important to note the even if any outliers where found they would not necessarily make the analysis more accurate as (Baragona, Battaglia, & Poli, 2011, p. 159-197) explain it all depends about the interpretation of the data.
3.0 Distribution of final exam results
This section shows the varying levels of final exam results from students in BSB123. The figure below shows the different grades from
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)