BSB123 Data Analysis
BSB123 Data Analysis
Factors affecting exam performance in Data Analysis
BSB123 Data Analysis is designed to build a strong foundation for development of statistical literacy and statistical thinking. Both are essential for business success and further studies in business. Recent research showed that “On average for 15-year-old Australian students, females achieved at a significantly lower level than male students (in mathematics)” (p.2, Buckley 2016)1 . However, there is also research evidence that “Despite the stereotype that boys do better in math and science, girls have made higher grades than boys throughout their school years for nearly a century” (APA 2014)2. The Head of School funds a research study to investigate gender differences in, and other factors influencing, exam performance in Data Analysis. Data are collected on the following variables from a sample of 624 students enrolled in the unit in 2015.
- Final exam mark (out of 60)
- Gender
- Degree Type
- Country of Citizenship
- Lecture Attendance4
You are appointed as the research analyst to examine the data and report key findings to the project officer. The dataset is contained in the file: Exam Results.xlsx. The project officer sets the following tasks to guide your investigation.
Task 1 (t-tests)
- Using graphics and statistics, describe the distribution of the final marks. Are there any features that you think are important? (3 marks)
- In 2014 the average final exam mark was 27.3 out of 60. You want to test at 1% if the average exam mark in 2015 has decreased. (Include all six steps of hypothesis testing.)
(2 marks)
- In order to investigate gender difference in exam performance you conduct separate two-sample t-tests.
(Conduct your tests at a = 5%.)
- (a) Considering the whole sample of students, test if there is a difference in the average exam
performance between female and male students.
(1 mark)
- (b) Considering single degree students only, test if there is any gender difference in exam performance. (1 mark)
- (c) Considering double degree students only, test if there is any gender difference in exam performance. (1 mark)
- (d) Present your findings in parts (a), (b) and (c) using appropriate graph(s), and discuss any important observation(s).
(2 marks)
- (a) Considering the whole sample of students, test if there is a difference in the average exam
Task 2 (Regression)
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