Data Analysis for First Year Business Students

Running head: DATA ANALYSIS
Data Analysis
Name of the Student:
Name of the University:
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DATA ANALYSIS
1
Summary report
The report describes the factors that affect the academic achievement of the first year Business
students. The variables that are taken for the study are Result, Age, Gender, Relationship, Medu
(Mother’s highest education level), Lectures and Tutorials. 649 students participated in this survey and
the categorical data, that is, Relationship status and Gender are converted into numeric data using the
values 0 and 1.
To evaluate the gender difference in the academic achievement of the students, a boxplot has
been created with side-by-side comparison of the Male and Female results.
Male Female
0
10
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Boxplot of Result for male and female science students
Bottom 2Q Box 3Q Box
Figure 1: Boxplot for Male and Female students' Results
It can be seen that the median value for the Female students’ results is higher than that for the
Male students. While, for the Males, the percentage of the results above the median value, that is, 3 rd
Quartile is higher, for the Females, data in the 1st and 3rd quartile are almost equal. Interquartile range is
higher for the Female students. Spread of the data is equal for both Males and Females (0 to 95), and both
the Male and Female results are positively skewed as mean values are less than the median values. Thus,
there is gender difference in the academic achievement of students.