Data Analysis and Presentation

Data Analysis and Presentation 1
DATA ANALYSIS AND PRESENTATION
By (Name)
The Name of the Class (Course)
Professor (Tutor)
The Name of the School (University)
The City and State where it is located
The Date

Data Analysis and Presentation 2
Data Analysis and Presentation
Email to the Associate Dean, Teaching and Learning
To: Claudia Brady
From: Sam Mannix
Subject: Analysis of the Bachelor of Commerce core units data
Dear Sam,
The following assessments could be made from the data provided:
Question 1
The average scores across all 8 core units were calculated for all 500 students and provided in a column to the
right of the existing data. The mean score for all students across all 8 core units was 71%. The median score for
all students with regard to average score across all 8 core units was 71.5%. Given that the mean and median are
almost similar, this indicates that the average score for students across all 8 core units is normally distributed
(Kemp, Hort & Hollowood 2018). The kurtosis and skewness for the same data are within -2 and 2; further
implying that the data is normally distributed. The inter-quartile range indicates that 8.375% of the different
between the third quartile and second quartile accounts for 50% of students’ (250 individuals) overall scores in
the 8 units. The standard deviation implies that majority of the average student scores across all 8 core units are
expected to differ from the mean by ± 5.69 % as indicated (Montgomery 2013).
Question 2
We can see that the mean scores for males and females with regard core unit 4 (Business analytics) are different
at 73.03% and 71.84% respectively. The other results are also different for all the other summary statistics e.g.