4 MARKING CRITERIA

Students are advised to read the marking rubric provided on Moodle as well as detailed marking

criteria based on this rubric.

5 DEDUCTION, LATE SUBMISSION AND EXTENSION

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

approved. This means 0.75 marks (out of 15 marks) per day.

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

NOT email the lecturer or tutor to seek an extension, you need to follow the procedure described in

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 O 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. -'

BUS708 2019...

BUS708 Statistics and Data Analysis

Vo)) 4G

LTE

.lll 660/0'

Inferential Statistics Report

Assignment 2 (Assessment 4) — Individual Word Report — Trimester 3, 2019

1 OVERVIEW OF THE ASSIGNMENT

This assignment will test your skill to present and summarise data as well as to make basic statistical

inferences in a business context. You will use the results and any feedback given in Assignment I

(Assessment 3, Excel Report) and produce a single report in a word document. You will need to

construct interval estimates, perform suitable hypothesis tests and regression analysis and make

conclusion and suggestion for management action.

Your report should be written in a word document and should be submitted to Turnitin following the

requirement explained below.

2 TASK DESCRIPTION

There are two datasets involved in this assignment: Dataset I and Dataset 2, which are the same

datasets used in Assignment I (Excel Report). All data processing should be performed in Excel or

Statkey (http://www.Iock5stat.com/StatKev). Specific instruction as to which tools should be used

for each section will be given during tutorials.

Your tasks are to answer the following research questions given in Section 2 to Section 6 below using

dataset I or dataset 2 as indicated in each section. To answer each question, you will need to first

present the relevant numerical summary (summary statistics) and graphical display and perform

suitable statistical analysis to provide a statistical conclusion.

I.

2.

3.

Section I: Introduction

Provide a brief and clear introduction about the report (e.g. the objective of the

report, the datasets involved, etc.). Find relevant articles (minimum one article,

maximum 3 articles) and write a proper literature review which includes in-text

citation.

Section 2: Is 40% a plausible value for the proportion of private room in Airbnb room type?

Using Dataset I, first provide both numerical summary as well as graphical display

that easily shows the proportions of different room types. Then construct a 95%

confidence interval of the population proportion of private rooms. Finally, answer the

research question using the confidence interval.

Section 3: After an iteration of outlier removal, is the price of private room more than

$70?

Using Dataset I, perform one iteration of outlier detection on the price of priv

room using the method described in the lecture notes. After removing those

outliers, describe the price distribution of private room using both numerica

graphical summary which shows the remaining outliers, if any.

Perform suitable hypothesis test to answer the research question above at 5% I

of significance.

Students are advised to read the marking rubric provided on Moodle as well as detailed marking

criteria based on this rubric.

5 DEDUCTION, LATE SUBMISSION AND EXTENSION

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

approved. This means 0.75 marks (out of 15 marks) per day.

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

NOT email the lecturer or tutor to seek an extension, you need to follow the procedure described in

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 O 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. -'

BUS708 2019...

BUS708 Statistics and Data Analysis

Vo)) 4G

LTE

.lll 660/0'

Inferential Statistics Report

Assignment 2 (Assessment 4) — Individual Word Report — Trimester 3, 2019

1 OVERVIEW OF THE ASSIGNMENT

This assignment will test your skill to present and summarise data as well as to make basic statistical

inferences in a business context. You will use the results and any feedback given in Assignment I

(Assessment 3, Excel Report) and produce a single report in a word document. You will need to

construct interval estimates, perform suitable hypothesis tests and regression analysis and make

conclusion and suggestion for management action.

Your report should be written in a word document and should be submitted to Turnitin following the

requirement explained below.

2 TASK DESCRIPTION

There are two datasets involved in this assignment: Dataset I and Dataset 2, which are the same

datasets used in Assignment I (Excel Report). All data processing should be performed in Excel or

Statkey (http://www.Iock5stat.com/StatKev). Specific instruction as to which tools should be used

for each section will be given during tutorials.

Your tasks are to answer the following research questions given in Section 2 to Section 6 below using

dataset I or dataset 2 as indicated in each section. To answer each question, you will need to first

present the relevant numerical summary (summary statistics) and graphical display and perform

suitable statistical analysis to provide a statistical conclusion.

I.

2.

3.

Section I: Introduction

Provide a brief and clear introduction about the report (e.g. the objective of the

report, the datasets involved, etc.). Find relevant articles (minimum one article,

maximum 3 articles) and write a proper literature review which includes in-text

citation.

Section 2: Is 40% a plausible value for the proportion of private room in Airbnb room type?

Using Dataset I, first provide both numerical summary as well as graphical display

that easily shows the proportions of different room types. Then construct a 95%

confidence interval of the population proportion of private rooms. Finally, answer the

research question using the confidence interval.

Section 3: After an iteration of outlier removal, is the price of private room more than

$70?

Using Dataset I, perform one iteration of outlier detection on the price of priv

room using the method described in the lecture notes. After removing those

outliers, describe the price distribution of private room using both numerica

graphical summary which shows the remaining outliers, if any.

Perform suitable hypothesis test to answer the research question above at 5% I

of significance.

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