Statistics and Data Analysis: Statistical Modelling Assignment

Statistics and Data Analysis
STATISTICAL MODELLING ASSIGNMENT
Student name
BUS708 Statistics and Data Analysis
Lecturer name
Institution
State
Date of Submission

Statistics and Data Analysis
1. Section 1: Introduction
a. Introduction
Before success can be achieved in a business there are a lot of risks that the investors
have to take. Mitigation of this risks demand a lot of thinking and intuitions if a well-
informed decision is to be reached that can guarantee future success. Historically
enterprises decision making was largely based in intuitions and experience, but with
emergence of better techniques decision making basis is being transformed to a more
analysis oriented rather than mere institutions (Singh 2018).
Big data have strengthened the roots of business and can be graded as one of the major
revelations for enterprises. In the present business set up before the managers can
develop marketing strategies a lot of analysis is put on the customers behaviour. This is
different from the past where only feedback from the customers could be used to
analyse their needs. Thanks to big data the consumers can now be understood more
clearly allowing the managers room to make more accurate decisions
In this assignment the focus will be on applying the data collecting and analysing skills to
solve problems in business set up. This way it’s expected to present an opportunity to
put the theories acquired during learning into practice.
b. Dataset 1
The dataset 1 has been extracted from the Australian government open data on
international flights operating to and from Australia. Being that the data has been
collected and documented it is thus referred as a secondary data. The data involved a
number of variables of concern to the assignment being “all flights” that is the total
number of airlines in or out of Australia in a given month. Also, the data contain the
name of the airlines and the Australian city where the planes lands or flies out from. This
study case focuses on the Australian airline sector.
c. Dataset 2
The dataset 2 was collected through the use of questionnaires. A total of 80 students
from KOI were supplied with questionnaires which they filled and the information used
to record the data. Being that the sampled population was small it may not represent
the actual population effectively hence resulting to in accurate conclusions. Since the
data was collected directly from the field it is classified as primary data. The data is
considered as a group case as it was only focused on the set of KOI students.
2. Section 2: Analysis of single variable in dataset 1
a. Shape of the distribution
The table below gives a numerical summary of all the flights that flew in and out of
Australia in a given month.

Statistics and Data Analysis
Numerical summary
All_Flights
Mean 24.326
Standard Error 0.651226
Median 20
Mode 31
Standard Deviation 20.59359
Sample Variance 424.0958
Kurtosis 8.843615
Skewness 2.450565
Range 148
Minimum 1
Maximum 149
Sum 24326
Count 1000
Largest(1) 149
Smallest(1) 1
Confidence Level(95.0%) 1.277929
When these values are presented using a histogram, we have the figure below
The mean number of flights to and from Australia is 24, this number is though skewed to
the right. As from the figure above most of the months have between 0 to 40 planes
moving between Australia and the rest of the world this number representing up to 89%
of airline flights.
b. Flight average