statistics

BUS708 Statistics and Data Analysis

Statistical Modelling Assignment Trimester 3, 2018

1 OVERVIEW OF THE ASSIGNMENT

This assignment will test your skills of collecting and analysing data to answer a specific business

problem. It also gives you the opportunity to apply the theories you have learned in this course such

as finding numerical summaries, displaying with appropriate graphs and using statistical inferences

to solve business problems, including constructing hypotheses, test them and interpret the findings.

You may have to use two Data sets. One Data set will be sent you via KOI student email individually

and other you need to find or collect.

Suppose you are working for an agency who analyses airlines services Data of Australia to make a

recommendation to improve Airport services to airline. You will be given series of research

questions. Use your knowledge that you gain from this course to answer these questions by

displaying appropriate outputs of Excel, StatKey or Wolfram alpha. Use these answers to write an

executive summary which might be a valuable recommendation to Sydney Airport to improve their

services to airlines.

2 TASK DESCRIPTION: WRITTEN REPORT

There are two datasets involved in this assignment: Dataset 1 and Dataset 2, detailed below.

Dataset 1: You will receive an email that contains a dataset that is specifically allocated to you. This

dataset is a subset of an International Airlines, Operated Flights and Seats to and from Australia

sample file, provided by the Australian Government Open Data and has been edited to only include

a subset of the cases and variables. The original dataset can be obtained from

https://data.gov.au/dataset/e82787e4-a480-4189-b963-1d0b6088103e/resource/c308bb0a-98a9-

4cbb-bd0b-206d338ca06c/download/international_airline_activity_opfltsseats.csv and it is under

the license of Creative Commons Attribution 3.0 Australia. Data dictionary of the edited dataset is

given in the following table.

Variable Description Values

In-Out Airlines comes in or goes out I for in and O for out

Australian City

Which Australian city airline lands or Flies out.

Australian city names

International City

Which international city airline lands or flies out

International city names

Airlines Name of the airline Name of the airline

Route Via which airport airlines flies

Short forms of various airports

Port country Which country airlines belongs to

Name of the country

Port Region Which region airline belongs Region name

to

Service country

Which country do the service

Country name

Stops Number of stops airlines have

0,1,2

All Flights Number flight in or out in the month

Number in integer

Max seat Number of maximum seats Number in integer

Year Which year Number in the year

Month Number

Which month Number of the month

Dataset 2: Collect data (e.g. via a survey) that will answer research question given in section 3. There

is no requirement about the number of variables, sampling methods and sample size, but you need

to justify your approaches in Section 1 (see below).

Both datasets should be saved in an Excel file (one file, separate worksheets). All data processing

should be performed in Excel or Statkey (http://www.lock5stat.com/StatKey).

Prepare a report in a document file (.doc or .docx) which includes all relevant tables and figures,

using the following structure:

1. Section 1: Introduction

a. Give a brief introduction about the assignment and search related Article and write

a one paragraph of summary which should be a support for your assignment. You

need to give the full citation of the article.

b. Dataset 1: Give a short description about this dataset. Is this primary or secondary

data? What are the types of variables involved? Explain briefly what are the possible

cases used in this study.

c. Dataset 2: Explain how you collect the data and discuss its limitation (e.g. whether

your sample is biased). Is this primary or secondary data? What is/are the type(s) of

variable(s) involved? Give a description of cases you consider for this data set.

2. Section 2: Analysis of single variable in Dataset 1

a. To answer the research question “What is the shape of the distribution of the

variable All Flights?”, provide a suitable numerical summary and graphical display

for the variables All Flight of Dataset 1. Give a detail comments to answer the

research question.

b. Now to answer the research question “Is the average number of flights came in and

flew out to Australia in a month between September 2003 and September 2018

more than 30?” setup an appropriate hypotheses, perform hypotheses test by

checking all the assumptions and answer the research question by writing the

conclusion of the test.

3. Section 3: Analysis of two variables in Dataset 1

Sydney Airport has competition with its counterparts Melbourne and Brisbane. To identify

which airport perform better find the answers for the following series of research questions

and write good recommendations to Sydney Airport;

a. Give numerical summary and appropriate graphical display for comparing the

variables Australian city only for those three main cities and Airlines by considering

main three Airlines namely Singapore Airlines, Air New Zealand and Cathy Pacific

Airways.

b. Perform a suitable hypothesis test at a 5% level of significance to test whether there

is association between Australian City and Airlines by considering only those three

cities and three airlines in the part (a).

c. Use the conclusion and contribution of the test in part b and outputs in part a, write

an accurate information about which Airport perform best.

4. Section 4: Collect and analysis Dataset2

You are interested in finding that KOI student have good experience in Flying in or

out through which airport in Australia specifically Sydney, Melbourne or Brisbane.

By considering appropriate number of cases and variable, give a proper graphical

display and use it to write a comments.

5. Section 5: Discussion & Conclusion

a. Write and executive summary by combining all your findings in the previous sections

which must be a valuable recommendation for Sydney Airport.

b. Give a suggestion for further research

3 TASK DESCRIPTION: PRESENTATION/INTERVIEW

A presentation/interview for the assignment is scheduled on Week 11, in your allocated tutorial.

You do NOT need to prepare a presentation material (e.g. power-point slides), instead, you will be

asked to demonstrate and/or explain how you summarised the data and how you performed the

analysis. You may be asked to reproduce what you have made in your written report (e.g. generate a

chart or numerical summary using Excel or Statkey).

4 SUBMISSION REQUIREMENT

Deadline to submit written report: Week 10 Friday (25 Jan 2019), 11.59pm

You need to submit 2 files to Turnitin:

1. Main report, in a Microsoft Word document file (this is the file that will be marked, it

should contain all necessary tables and figures). Submit in word icon.

2. Dataset, in a Microsoft Excel file (this is just a supporting file). Submit in Excel icon.

Main report (word document):

1. Size: A4

2. Use Assignment Cover Page (download from Moodle) with your details and signature

3. Single space

4. Font: Calibri, 11pt

Dataset (excel document):

1. Dataset 1 in Sheet 1

2. Dataset 2 in Sheet 2

3. Data processing for each section in other sheets (rename the sheet appropriately)

5 DEDUCTION, LATE SUBMISSION AND EXTENSION

Late submission penalty: - 5% of the total available marks per calendar day unless an extension is

approved. For extension application procedure, please refer to Section 3.3 of the Subject Outline.

6 PLAGIARISM

Please read Section 3.4 Plagiarism and Referencing, from the Subject Outline. Below is part of the

statement:

“Students plagiarising run the risk of severe penalties ranging from a reduction through to 0 marks for a first offence for a single assessment task, to exclusion from KOI in the most serious repeat cases. Exclusion has

serious visa implications.”

“Authorship is also an issue under Plagiarism – KOI expects students to submit their own original work in both assessment and exams, or the original work of their group in the case of a group project. All students agree to a statement of authorship when submitting assessments online via Moodle, stating that the work submitted is their own original work. The following are examples of academic misconduct and can attract severe penalties:

 Handing in work created by someone else (without acknowledgement), whether copied from another student, written by someone else, or from any published or electronic source, is fraud, and falls under the general Plagiarism guidelines.

 Students who willingly allow another student to copy their work in any assessment may be considered

to assisting in copying/cheating, and similar penalties may be applied. ”