BU1007编程代做、代写c++，Python程序设计

日期：2024-06-09 05:38

Subject Title Principles of Data Analysis for Business

Subject Code BU1007

Credit Points 3

Study Period TR2

Attendance Mode Internal

Campus Singapore

Prerequisite/s Nil

Subject Coordinator/

At James Cook University, we acknowledge the Australian Aboriginal and Torres Strait Islander peoples

of this nation. We acknowledge the Traditional Owners of the lands on which our campuses and study

centres are located and where we conduct our business. We pay our respects to ancestors and Elders,

past, present and future. JCU is committed to honouring Australian Aboriginal and Torres Strait Islander

peoples’ unique cultural and spiritual relationships to the land, waters and seas and their rich

contribution to JCU and society.

Copyright 2024

This publication is covered by copyright regulations. Apart from any fair dealing for the purpose of private

study, research, criticism, or review as permitted under the Copyright Act, no part may be reproduced by

any process or placed in computer memory without written permission (including file sharing websites).

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Contents

1 Subject details................................................................................................................................. 3

1.1 Student participation requirements ................................................................................................... 3

1.2 Teaching Staff contact details............................................................................................................. 3

1.3 Subject description ............................................................................................................................ 4

1.4 Subject learning outcomes and course learning outcomes ................................................................. 4

1.5 Student feedback on subject and teaching ......................................................................................... 4

1.6 Subject resources and special requirements ....................................................................................... 5

1.7 Generative AI Usage ........................................................................................................................... 6

2 Assessment details ......................................................................................................................... 6

2.1 Key dates ........................................................................................................................................... 6

2.2 Requirements for successful completion of this subject ..................................................................... 6

2.3 AccessAbility Services and Support..................................................................................................... 7

2.4 Assessment items .............................................................................................................................. 7

3 Submission and return of assessment .......................................................................................... 16

3.1 Submission of assessment ................................................................................................................ 16

3.2 Late submissions .............................................................................................................................. 16

3.3 Special Consideration (including deferrals and extensions) ............................................................... 16

3.4 Academic Integrity ........................................................................................................................... 17

3.5 Return of assessment ....................................................................................................................... 17

3.6 Review of assessment ...................................................................................................................... 17

3.7 Confirmation of Student Authorship ................................................................................................ 18

4 Learning and teaching in this subject ............................................................................................ 19

4.1 Subject calendar .............................................................................................................................. 19

4.2 Learning and teaching activities/expectations .................................................................................. 21

This Subject Outline has been prepared by A/Prof. Huiping Zhang for the College of Business, Law &

Governance, James Cook University. Updated April 12, 2024.

The information provided in this subject outline is correct as at the time of completion and may change

in response to changing University resources. Any changes will be approved by the College Dean or

representative and will be communicated to students by the LearnJCU subject site.

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1 Subject details

1.1 Student participation requirements

The JCU Learning, Teaching and Assessment Procedures (2.1.2d) indicates a typical student workload for

a three (3) credit point subject requires a 130 hour work load of study related activities, including

attendance, assessment and self-directed study over the duration of the subject with equivalency across

all attendance modes.

Note that attendance at specified classes will be a mandatory requirement for satisfactory completion of

some subjects (Learning, Teaching and Assessment Procedures, 3.1.8e) and that additional hours may be

required per week for those students in need of English language, numeracy or other learning support.

Key subject activities

On-campus > Lectures - may include recorded

presentations, online activities & self-learning

activities inclusive of lectures, via LearnJCU (20 hours)

Refer to the appropriate Timetable:

or your eStudent personal timetable

On-campus > Tutorials - may include recorded

presentations, online activities & self-learning

activities inclusive of synthesising sessions, via

LearnJCU (20 hours)

Refer to the appropriate Timetable:

JCU Australia

JCU Brisbane

JCU Singapore

or your eStudent personal timetable

For information regarding class registration, visit the Class Registration Schedule.

Learning and teaching activities may be recorded for this subject. Personal Information in the form of

images and audio may be collected by JCU during the recording. This Personal Information may appear

as part of the recording which is accessible to students and staff in this subject on LearnJCU.

1.2 Teaching Staff contact details

Teaching

team Staff member Room Phone Email

Consultation

times*

Subject

Cordinator

(JCUA)

Lecturer

(JCUS) A/Prof Huiping Zhang E3-01 65 67093729 [email protected] By email

Tutor 1

(JCUS)

Mr. Jackson Lau [email protected] By email

Tutor 2

(JCUS) Mr.Lim Sim Guan [email protected] By email

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Learning

Advisors

JCU Singpore Learning

Centre C1-12B n/a

learningcentre-

*Other consultation times by appointment only.

1.3 Subject description

In a world where more data and more complex data is readily available, understanding and applying the

principles of data analysis drives timely decision making which is an essential skill to any student. This

subject provides students with an introduction to data analysis, contextualised using data sources you

commonly encounter in business environments. Students cover the foundational principles of data

analysis, which are the selection, analysis and interpretation of data. The subject demonstrates that the

research question you wish to answer, drives the data selection and the analysis method. The

interpretation and clear communication of the subsequent findings ensure correct decision making,

which in turn drives business success.

1.4 Subject learning outcomes and course learning outcomes

On successful completion of this subject, you will be able to:

describe the practical relevance of data analysis for application in business contexts

identify and outline a range of data sources, types and analysis methods relevant to business

management

apply appropriate methods, interpret results and recommend actions to make insightful business

decisions and solve business related problems

These outcomes will contribute to your overall achievement of course learning outcomes.

CLO3: Demonstrate initiative, independence, judgement, and reflective practice with a commitment to

lifelong learning and professional development

CLO4: Critically evaluate, interpret and communicate information, data and resources in academic and

digital contexts

CLO8: Select, analyse and interpret quantitative and qualitative data, using appropriate methodologies

and applications and convey findings and recommendations through effective written and oral

communication

CLO9: Apply technical and digital skills, including literacy and numeracy necessary for professional

practice in business

1.5 Student feedback on subject and teaching

Students are at the heart of JCU and as part of our commitment to improving the quality of our subjects

and teaching, we regularly seek feedback on the JCU student experience.

YourJCU Surveys are available to all students through LearnJCU. You will receive an email invitation

when the survey opens.

In response to previous student feedback and other data, the following enhancements to this subject

have been made:

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Free open access to our class e-textbook. Contains a wide range of excercises and solutions for

students to practice in their own time along with other interactive activities that can be

accessed;

Use of engaging tools, such as Gamification through implementation of ‘Quizizz’ within our

synthesis sessions which promote collaboration and interaction amongst students but also assist

with preparing for our assessments;

Assessments to include both written work (i.e. statistical report), as well as online exams;

Synthesis sessions were delivered online, these are now be held face to face, with options to

participate online as well; and

Student feedback by externally enrolled students have asked for weekly online sessions.

1.6 Subject resources and special requirements

All subject readings and resources, including journal articles, book chapters, websites, videos, print and

eTextbooks, are available to view online from your Readings list via your LearnJCU subject site.

All subject readings and resources, including journal articles, book chapters, websites, videos, print and

eTextbooks, are available to view online from your Readings list via your LearnJCU subject site. Textbooks

are listed in your Readings list, including links to library holdings. The JCU Library has limited print copies

of prescribed textbooks for two-day loan, and options for viewing available eTextbooks online.

Additionally, you can find the most appropriate library subject resources, including dedicated discipline-

specific Library Guides, relevant databases and access to library services and staff through the Your Library

tool, in your LearnJCU subject site.

Our prescribed textbook for BU1007_1807 is “Introductory Statistics”, an OpenStax textbook which is free

to all users, there is no cost to students. Students can access the e-book here. They may also save it as a

PDF file, should they choose to. We will also use other free Open Educational Resources such as chapter/s

from this e-book and those the university has licenses to, such as LinkedIn Learning.

There are a variety of in-built excercises throughout the text book available for students to practice and

assist with consolidating their knowledge. These include: end of section practice and homework sets,

examples of each topic are explained step-by-step throughout the text and followed by a Try It problem

(Bookshare, 2021).

There are also collaborative exercises and statistics labs designed to give students the opportunity to work

together and explore key concepts (Bookshare, 2021).

Students may also practice further free excercises via Grasple.

Readings and Copyright

Use the Readings platform for all your readings and other resources, including prescribed textbooks,

eTextbooks, journal articles, digitised chapters, websites, links to Library Guides, LinkedIn Learning,

relevant referencing style guides and video content (e.g. YouTube, LinkedIn Learning, Kanopy, Anatomy

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TV, Vetstream etc.). Readings is linked to your LearnJCU site through an LTI in the tools menu. Assistance

with using the Readings platform is available from the Readings at JCU Guide.

Your Library

The Your Library LTI tool uses metadata to link the most appropriate library subject resources to your

LearnJCU site, including discipline-specific Library Guides, relevant databases, and access to library

services and staff.

Direct any queries regarding this section to [email protected].

1.7 Generative AI Usage

This Subject permits the use of Generative AI tools for the completion of learning activities and/or

assessments.

2 Assessment details

2.1 Key dates

Key dates Date

Census date and Last date to withdraw without financial

penalty See 2024 JCUS Study Period and Census Dates

Last date to withdraw without academic penalty See 2024 JCUS Study Period and Census Dates

Assessment item 1: Other - (40%)

Statistical Report

Due on 16/06/2024 11:59pm (Singapore time)

Assessment item 2: Written - Test/Quiz 1 (30%)

Online (Multiple Choice)

Due on 19/07/2024 (Friday)

Assessment item 3: Multi method - Multi method (30%)

Examination (Multiple Choice with Short Answers)

Due on 17/08/2024 (Saturday)

2.2 Requirements for successful completion of this subject

In order to pass this subject, you must:

Achieve an overall percentage of 50% or more

Mandatory attendance requirements apply in this subject. A student who fails to attend at least 8

out of 10 workshops, must meet with the Associate Dean of Learning and Teaching and provide

evidence as to why they should be permitted to submit the final assessment task.

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Demonstrate a reasonable attempt on all assessment items. Students who have completed less

than 100% of the assessment will be subject to review by the College Assessment Committee

which could result in failing the Subject (F – Fail), and

Complete at least 80% of assessment requirements, as listed above, and

Failure to comply with the above will result in an F (Fail) Result.

Final results for this subject will be graded as described in the Student Results Policy.

Supplementary examinations/supplementary assessments are available for this subject, in accordance

with the Learning, Teaching and Assessment Procedure (3.2.10.e or 3.2.10.f) and the Student Results

Policy (2.1).

2.2.1 How do I track my progress in this subject?

Students are strongly encouraged to participate in tutorials to help consolidate their knowledge on the

subject matter discussed, as they receive feedback on tutorial questions. In addition, online quizzes

provide students with instant feedback. Multiple opportunities are provided through this platform for

students to apply their knowledge through trial and error. A comprehensive feedback will be provided

through an online rubric on the case study.

2.3 AccessAbility Services and Support

Reasonable adjustments may be made to assist you to manage additional circumstances impacting on

your studies provided these do not change the academic integrity of a course. Reasonable adjustments

do not alter the need to be able to demonstrate the inherent requirements of the course.

If you believe you will experience challenges completing your subject or course because of a disability,

health condition or other reason, you should fill up the Accessibility Intake form (click Forms for

Prospective Students to locate this) and submit to the relevant Student Ambassador at JCUS who will be

in touch with you.

Your course inherent requirements can be found here.

2.4 Assessment items

Our assessments are positioned to take place at the end of each learning unit, that of Descriptive

Statistics (weeks 1 to 3), Probability Theory (Weeks 4-6) and Inferential Statistics (Weeks 7-10) [Figure 1

below]. They are designed to assess students’ knowledge on the concepts covered during those units

and their ability to execute the associated statistical processes from which interpretations and insights

are drawn from.

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Figure 1 Content Map

ASSESSMENT ITEM 1: (OTHER) STATISTICAL REPORT

Aligned subject learning

outcomes

describe the practical relevance of data analysis for application in business

contexts

identify and outline a range of data sources, types and analysis methods relevant

to business management

apply appropriate methods, interpret results and recommend actions to make

insightful business decisions and solve business related problems

Group or individual Individual assessment item

Weighting and due date 40%, due on 16/06/2024 11:59pm (Singapore time)

Requirements for

successful completion of

this assessment item

Demonstrate a reasonable attempt on all assessment items. Students who have completed

less than 80% of assessment requirements will receive an ‘X’ grade (Fail).

Generative AI use

Generative AI tools are restricted in this assessment item

In this assessment, you can use Generative Artificial Intelligence (GenAI) in order to assist

with literature review research only. Any use of generative AI must be appropriately

acknowledged and include a Declaration of AI-Generated Material.

ASSESSMENT ITEM 1: DESCRIPTION

The aim of this assessment is for you to apply knowledge gained from weeks 1 to 3 which covers

foundational principles relating to descriptive statistics and demonstrate mastery of the associated

statistical techniques introduced within this unit. You are then assessed on your ability to synthesise this

information and present and communicate your findings effectively through the production of a statistical

report.

There are three topic scenarios available (access folder ‘Assessment 1’ via LearnJCU) from which you are

to select only one. You will need to locate relevant data sources relating to the chosen topic and undertake

the appropriate statistical methods and tests in response to the questions put forward using MS Excel

data analysis tools.

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As the author of this statistical report, you are to write from the point of view of a statistician,

communicating the contents within the report to the relevant department as stated within the selected

scenario.

Step 1: Select a topic of interest from the three scenarios provided within our LearnJCU Assessment 1

folder.

Step 2: Download both the Statistical Report template and Excel file template provided within our

LearnJCU Assessment 1 folder.

Step 3: Research relevant data sources from the suggested websites provided within the selected topic

scenario [Step 1]. Select data and input this raw data directly into the Excel file template provided within

our LearnJCU Assessment 1 folder [Step 2]. Cite the data source within your excel file and statistical report.

Step 4: Explore relevant course readings and conduct exercises within our “Descriptive Statistics” learning

unit. Read and incorporate wider literature, including journal articles and grey literature on your chosen

topic to support your statistical report. For help on how to find journal articles go to the “Finding Journal

Articles” page in your library web site. The link refers to this

page: https://www.jcu.edu.au/library/find/journal-articles/finding-journal-articles.

Step 5: Conduct necessary statistical techniques required on the selected data within the excel template

provided. Produce required tables, charts required as stipulated within the chosen scenario file [Step 1].

The Statistical Excel Guide located within our Assessment 1 folder is a useful reference guide which may

assist with this exercise.

Step 6: Produce a statistical report in conjunction with the template provided within our LearnJCU

Assessment 1 folder [Step 2]. Specific formatting instructions include:

? The report must be typed in Microsoft Word format. The word limit is 1000 words (excluding

tables, and figures) and you must strictly adhere to this word limit. The report must be typed in 12

point Time New Roman font, double spaced and 2.5 cm margins. Insert tables and graphical

displays of your data analysis in the text where appropriate. Use bullet points sparingly.

? You may include any additional (supporting) information in the appendices at the end of the

assessment item. Information in the appendices should only be included if it is referred to in the

body of the assignment. Word count within the appendix are not included.

? Please provide numbered headings and reference sources to any charts, tables, images etc used

within the statistical report. Provide a brief explanation highlighting the main points or

implications of these.

? Provide references in APA 7th format . Words within the Reference list will not contribute towards

word count, however all quotes and intext citations will count towards the word count. For help

on how to reference go to https://libguides.jcu.edu.au/apa

? Further details on report writing will be provided on LearnJCU. Guidance on the preparation of

the report also will be discussed by your lecturers during workshop/online sessions.

Step 7: You are to submit two files within learnjcu dropbox: (1) A Word Document which is the Statistical

Report and (2) The excel file used containing the data, the statistical techniques performed and charts

produced.

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ASSESSMENT ITEM 1: CRITERIA SHEET (marked out of 100 marks)

You will be assessed on your ability to:

1. Identify and explain relevant descriptive statistic concepts (25 marks)

2. Select and analyse relevant data using the appropriate statistical techniques within Excel (25

marks)

3. Synthesise information to determine meaning and provide recommendations to assist decision

making (20 marks)

4. Incorporate findings or advice from the literature into your argument (15 marks)

5. Communicate and present findings in a Statistical Report format (15 marks)

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ASSESSMENT ITEM 1: CRITERIA SHEET (OR RUBRIC)

Criterion Poor Good Excellent

1. Knowledge and

Understanding (SLO1, SLO2)

Limited identification of relevant concepts.

Limited understanding of required concepts.

Provides inaccurate explanations of aspects of

the topic.

Demonstrates little evidence of understanding of

descriptive statistics.

Identification of most key descriptive statistics.

Satisfactory understanding and application of key

concepts.

Analyses key aspects of the topic

Displays accuate understanding of descriptive

statistics.

Identification of all key descriptive statistics

Exhibits accurate and elaborated breadth and depth of

understanding of concepts.

Discriminating understanding and application of key concepts.

Analyses key concepts and emerging aspects of the topic, bringing

an originality of perspective.

Displays insight and a depth of understanding of descriptive

statistics.

2.Selection and analysis of

data (SLO3, CLO4, CLO8,

CLO9)

Demonstrates little or no competence in

selection and application of appropriate

statistical techniques and use of Excel to analyse

data.

Errors in data and variable selection to address

topic.

Inaccurately interpret information.

Very limited analysis of data provided

Able to interpret information to determine meaning.

Demonstrates some competence in selection and

application of appropriate statistical techniques and

use of Excel to analyse data.

Minimal error in data and variable selection to

address research question.

Able to interpret information to determine meaning.

Basic analysis and synthesis of data provided

Able to accurately interpret information to determine meaning.

Demonstrates competence in selection and application of correct

statistical techniques and use of Excel to analyse data. Correct

variables selected to address research question.

Able to accurately interpret information to determine meaning.

Highly discriminating and concinving analysis of data provided.

3.Synthesising (SLO3, CLO4,

CLO8)

Incomplete and/ or incorrect interpretation of

findings and comparison of data indicating a lack

of understanding of results. Discussion does not

include connections to underlying theory/key

concepts.

Significant improvements required in the use of

tables, graphs and figures correctly and

consistently in the discussion.

Does not draw basic conclusions and connection

between the results, research topic and

implications is not evident.

Limited analysis and synthesis of content

provided.

As a minimum, almost all of the findings and data

comparison have been correctly interpreted and

discussed, however, improvements are needed.

Some connections to theory / concept are made but

misses one or two important explanations.

Improvement required in the use of tables, graphs

and figures correctly and consistently in the

discussion.

Incomplete understanding of results is still evident

and basic conclusions are drawn.

Basic connection between results, research topic and

implications of the results are discussed.

Basic analysis and synthesis of content provided.

All findings and data comparisons have been interpreted correctly

and discussed; good understanding of results is conveyed. Clear

connections are made between results, theory/concepts and

research questions. Tables, graphs and figures are correctly and

consistently referred to in the discussion. All important conclusions,

to explain expected and unexpected results, have been clearly

made. Clear connection between results, research topic and

implications of the results are discussed.

Highly discriminating and concinving analysis and synthesis of

content.

4.Research Skills (CLO3,

CLO8)

Draws upon evidence that is irrelant, unreliable

and/or lacks currency

Agrument lacks support with insufficient

reference to the literature

Incorrect use of APA 7th referencing style

Draws upon relevant, current and reliable evidence

from a range of sources

The use of literature sufficiently supports the

argument and is well supported with reference to the

literature

APA 7th referencing used with few errors.

Draws upon relevant, reliable and current evidence from a wide

range of reputable sources

The argument presented is coherent and scholarly and well

supported with reference to a breadth of literature provided

Accurate APA 7th referencing used.

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Criterion Poor Good Excellent

5.Communication

Skills/Writing style &

Conventions (SLO3, CLO3,

CLO4, CLO8)

Has difficulty conveying meaning to audience due

to inapproapriate language and lack of

sequencing and explanatory techniques

Key structural elements of the report are not

present and/or presented with errors evident.

Report is not presented professionally, with

limited use of headings and figures/tables/graphs

lacking appropriate style and format with errors.

Introduction lacking basic elements.

Language used is not clear and /or does not

convey meaning to readers. It contains frequent

grammatical errors that interfere with conveying

meaning. Paragraphs are not well constructed

and disconnected, and/or follow poor

organisation.

Able to convey meaning to audience with clarity

using academic language and effective sequencing

and explanatory techniques

All required structural elements of the report are

present and completed to a satisfactory standard.

Resport is presented professionally, using some

informative headings and figures /tables/graphs

where appropriate in the correct style and format

with few errors. Introduction basic and incomplete.

Uses appropriate language, occasional lapses in

punctuation, grammar and sentence construction.

Conveys basic meaning with few spelling errors.

Paragraphs are generally well constructed with basic

transition between sections.

Able to convey meaning to audience with high level of clarity using

academic language and highly effective sequencing and explanatory

techniques

All required structural elements of the report are present and

completed to a high standard. The document is presented

professionally, using informative headings and figures/tables/graphs

where appropriate in the correct style and format. Introduction well

structured.

Uses appropriate language, correct punctuation, grammatically

correct and good sentence construction that conveys meaning to

readers with clarity and no spelling errors. Paragraphs are well

constructed and appropriate transition between sections.

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ASSESSMENT ITEM 2: WRITTEN - TEST/QUIZ 1

Aligned subject learning

outcomes

describe the practical relevance of data analysis for application in business

contexts;

identify and outline a range of data sources, types and analysis methods relevant

to business management;

apply appropriate methods, interpret results and recommend actions to make

insightful business decisions and solve business related problems.

Group or individual Individual assessment item

Weighting and due date 30%, due on 19/07/2024

Requirements for

successful completion of

this assessment item

Demonstrate a reasonable attempt on all assessment items. Students who have completed

less than 80% of assessment requirements will receive an ‘X’ grade (Fail).

Generative AI use

Generative AI tools cannot be used in this assessment task

In this assessment, you must not use Generative Artificial Intelligence (GenAI) for any

elements of the assessment task including the generation of any materials or content in

relation to the assessment item.

ASSESSMENT ITEM 2: DESCRIPTION

Assessment 2 is an Online Exam and is accessible on the LearnJCU subject site-assessment page on Friday

19th July 2024 in week 7. You can access the exam any time between 7:00 pm and 9:00 pm (Singapore

time) on this date, but as soon as you start your exam, you will have 1.5 hours to complete it. You have

one attempt at this exam; once you commenced the exam, you must complete it. It cannot be saved and

returned to later.

Our Online Exam will cover all work up to and including materials covered in Topics 4-6 within our

“Probability Theory” Unit [Figure 1]. You may need to use Excel and/or calculator to answer these

questions.

As these tests are completed online, you need access to reliable internet. If you do not have reliable

internet, then JCU facilities can be used (either using JCU computers or using your own computer

connected to the internet via JCU WiFi on campus). It is the responsibility of the student to ensure they

have reliable access to internet and technology to undertake these assessments by the due date.

No extensions will be granted for missed exams unless under exceptional circumstances where supporting

documentation has been provided (e.g. medical certificate).

Submission:

Be reminded that exams are timed, and from the time you start the exam, you will have 2-hours to

complete it. You cannot pause and return later. Your answer will be saved when you proceed to the next

question.

On completion of the test, click “submit”.

If you encounter technical difficulties, immediately contact [email protected] and

[email protected], and explain exactly what has or hasn’t taken place. They will prompt you for the other

pertinent details such as computer type, browser etc. Please remember to take a full screenshot of the

issue to support your explanation.

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Important facts to remember:

1- It is essential to remember your quiz access time; the quiz will only appear on LJCU under the

assessment only between 7:00 pm and 9:00 pm (Singapore time) on the due date. Failing to

access the quiz during the allotted time will result in zero scores for your quiz.

2- Once you start a quiz, it cannot be paused. You must complete it within the remaining time.

Logging out of LearnJCU or closing your browser does not stop the clock.

3- If you start the quiz but leave it, close it, or simply do not answer any questions, your score will

be submitted as a zero. If you start answering questions but run out of time without finishing the

quiz, your current score will automatically be sent to your lecturer.

Before you start:

1- To avoid any technical problems such as internet drop out or screen freeze, please ensure you

are working on a PC/Mac desktop or laptop with a fast and reliable internet connection.

2- Do not attempt this test on a mobile device, tablet or smartphone.

3- Do not attempt this test on Internet Explorer.

4- Please ensure you have a LearnJCU compatible browser such as Chrome or Firefox. There is a

web browser checking tool on the login page of LearnJCU: https://learnjcu.jcu.edu.au/

5- Remember to only use navigation tools embedded in the quiz page. Do not use the back and

forward buttons in your browser.

6- You need to complete your quiz in one session - do not leave and come back to it later.

ASSESSMENT ITEM 2: CRITERIA SHEET (OR RUBRIC)

N.A.

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ASSESSMENT ITEM 3: MULTI METHOD (EXAMINATION MULTIPLE CHOICE WITH SHORT ANSWERS)

Aligned subject learning

outcomes

describe the practical relevance of data analysis for application in business

contexts

identify and outline a range of data sources, types and analysis methods relevant

to business management

apply appropriate methods, interpret results and recommend actions to make

insightful business decisions and solve business related problems

Group or individual Individual assessment item

Weighting and due date 30%, due on 17/08/2024 (Saturday)

Requirements for

successful completion of

this assessment item

Demonstrate a reasonable attempt on all assessment items. Students who have completed

less than 80% of assessment requirements will receive an ‘X’ grade (Fail).

Generative AI use

Generative AI tools cannot be used in this assessment task

In this assessment, you must not use Generative Artificial Intelligence (GenAI) for any

elements of the assessment task including the generation of any materials or content in

relation to the assessment item.

ASSESSMENT ITEM 3: DESCRIPTION

Similar to Assessment 2, Assessment 3 is an Online Exam and will take place within the examination

period, after we have finished our learning unit on “Inferential Statistics” which covers weeks 7-10 (Figure

1). It is designed to examine students’ knowledge on the concepts covered during that unit. You will be

presented with a case study from which several questions will be asked. It will involve multiple choice and

short answer type questions. You may need to use Excel and/or calculator to answer these questions.

Instructions:

1. You can access the quiz during the given access time on the due date, whose details will be

announced later. You have one attempt at this quiz; once you commenced the test, you must

complete it. This test comprises 35 multiple choice and/or fill-in-the-blanks questions that either

requires you to select an answer option from four options or provide missing word/words/ or

values.

2. As these tests are completed online via learnjcu, you need access to reliable internet. If you do not

have reliable internet, then JCU facilities can be used (either using JCU computers or using the

student’s own computer connected to the internet via JCU WiFi on campus). It is the responsibility

of the student to ensure they have reliable access to internet and technology to undertake these

assessments by the due date. No extensions will be granted for missed exams unless under

exceptional circumstances where supporting documentation has been provided (e.g. medical

certificate).

ASSESSMENT ITEM 3: CRITERIA SHEET (OR RUBRIC)

N.A.

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3 Submission and return of assessment

3.1 Submission of assessment

Students must submit final assessment items in the mode specified for each piece, (including the

reference list), using the FINAL dropbox by the due date. There is only one final submission for each

assessment item. Resubmissions are not permitted, therefore students should ensure that the correct

file is submitted, as this file will constitute a submission and will be the only document marked and

graded. Incorrect submissions will not be removed, so please ensure the correct file is uploaded.

Students are responsible to ensure the upload is successful and to save a copy of the SafeAssign report

for their own records. The date and time of online submission is recorded by LearnJCU, and this is

accepted as being the equivalent to a date stamp on a hard copy submission. If system-wide technical

problems occur with SafeAssign or LearnJCU on the due date, your subject coordinator will advise you

by email and/or via announcement on LearnJCU of any necessary changes to the normal processes of

assessment submission.

You should check your report from submission to the SELF CHECK dropbox, prior to submission to the

FINAL dropbox, as this will help you to identify areas of plagiarism or areas that have not been

accurately referenced within your assignment and rectify them prior to your final submission.

All answers of assessment tasks are submitted online through the Assessment folder at LearnJCU.

3.2 Late submissions

The Learning, Teaching and Assessment Procedure (3.1.8d) outlines a uniform formula of penalties

imposed for submission of an assessment item after the due date. This formula is 5% of the total

possible marks for the assessment item per day including part-days, weekends, and public holidays. If

submitted after 20 days, the assessment item thus would be awarded 0 marks (i.e. 5% x 20 = 100% of

total possible marks in penalties). For assessment items weighted 0%, and submitted after 10 days a

DNS (Did Not Submit) grade is awarded.

3.3 Special Consideration (including deferrals and extensions)

You are encouraged to access equity measures if you are affected by extenuating circumstances while

undertaking the subject. JCU’s Learning, Teaching and Assessment Procedure 3.1 requires that you must

make yourself available for assessments and examinations at the scheduled times and extensions or

deferrals for an assessment item due to previously scheduled commitments such as weddings or

holidays, will not be granted.

All Special Consideration requests can be applied for through the Special Consideration application

form. The form is linked to the Special Consideration Procedure and also available on the Student

Forms webpage.

Page 17 of 21

3.4 Academic Integrity

As outlined in the Coursework Academic Integrity Policy and Procedure, you are required to complete

the Coursework Academic Integrity Modules available in your LearnJCU site. Penalties for non-

completion may be applied.

All non-examination items of assessment are required to be submitted with the Assessment Declaration

available through LearnJCU. The Assessment Declaration contains statements relating to academic

integrity under the Coursework Academic Integrity Policy and Procedures.

All instances of academic misconduct are treated very seriously by the University and students may be

severely penalised for committing any form of academic misconduct.

For more information regarding academic integrity, see https://www.jcu.edu.sg/current-

students/student-support-services/learning-support/academic-integrity-at-james-cook-university-

singapore

3.5 Return of assessment

The requirements for an assessment’s return date, time and manner will be determined by the Subject

Coordinator in line with the JCU Learning, Teaching and Assessment Procedures.

Feedback will be given, as per clause 3.5 of the Learning, Teaching and Assessment Procedures. You will

be informed of your grade for every component of assessment as per clause 3.5.1 and 3.5.2 of

the Learning, Teaching and Assessment Procedures. You can also request written or verbal feedback

from the marker (see Learning, Teaching and Assessment Procedures 3.5).

3.6 Review of assessment

Assessment items and final grades will be reviewed through moderation processes (Learning, Teaching

and Assessment Procedures, 3.6). It is important to be aware that assessment results “must always

undergo final ratification for each study period. No single grade or mark represents a final result in a

subject” (Learning, Teaching and Assessment Procedures, 3.7.4.).

Audio and/or video recording of assessment (e.g. oral assessment) may be used in this subject as per

the Learning Teaching and Assessment Procedure (3.1.5f) and will be securely stored in line with

Learning Teaching and Assessment Procedure (3.8.1).

Students can seek a review of individual assessment pieces through the process identified in clause 3.8

of the Learning, Teaching and Assessment Procedures.

Students can seek a review of the final subject result through the process contained in the Review and

Appeal of a Final Subject Result Procedure.

Page 18 of 21

3.7 Confirmation of Student Authorship

A confirmation of student authorship may apply if a lecturer suspects the student has submitted work

that is not their own.

Page 19 of 21

4 Learning and teaching in this subject

4.1 Subject calendar

Please note, the sequence of some topics may change due to staff availability, resourcing, or due to unforeseen circumstances. Please monitor

announcements made via LearnJCU.

Week/Module (Wednesdays) Lecture Topic(s) Tutorial Readings/Preparation Relationship to assessment

1 22/05/2024

Session 1: Key Concepts of

Statistics and Application

Types of data, data sources and

statistical packages

Tutorial 1

Tutorial questions

Chapter 1 Sampling and Data Assessment 1 - Statiscal Report

2 29/05/2024

Session 2: Descriptive statistics:

Graphs, tables and shapes

Tutorial 2

Tutorial questions Chapter 2 Descriptive Statistics

Assessment 1 - Statiscal Report

3 05/06/2024

Session 3: Descriptive statistics:

Numerical Descriptive statistics

Tutorial 3

Tutorial questions, case study

discussion

Chapter 2 Descriptive Statistics

Assessment 1 - Statiscal Report

4 12/06/2024

Session 4: Data Collection And

Sampling Methods

Tutorial 4

Case Study discussion

Chapter 1 Sampling and Data Assessment 2 - Quiz 1

Statistical report due: 11:59pm on

16/06/2024

5

19/06/2024

Session 5: Basic Introduction to

Probability, Discrete Probability

Distribution and Continuous

Probability

Tutorial 5

Tutorial questions

Chapter 3 Probability Topics

Some topics in Chapters 4 - 6

Assessment 2 - Quiz 1

Study weeks: 24/06/2024 - 05/07/2024

6 10/07/2024

Session 6: Sampling Distribution

of Mean

Tutorial 6

Tutorial Questions, Exam

Preparation Discussion

Some topics in Chapters 7 and 8 Assessment 2 - Quiz 1

Page 20 of 21

Week/Module (Wednesdays) Lecture Topic(s) Tutorial Readings/Preparation Relationship to assessment

7 17/07/2024

Session 7: Interval Estimation Tutorial 7

Tutorial Questions, Exam

Preparation Discussion

Chapter 8 Confidence Intervals Assessment 3 - Final Quiz

Online Quiz due: 7pm – 9pm on

19/07/2024

8 24/07/2024

Session 8: Hypothesis Testing Tutorial 8

Tutorial Questions, Exam

Preparation Discussion

Chapter 9 Hypothesis Testing

with One Sample

Assessment 3 - Final Quiz

9 31/07/2024

Session 9: Simple Linear

Regression

Tutorial 9

Tutorial Questions, Exam

Preparation Discussion

Chapter 12 Linear Regression and

Correlation

Assessment 3 - Final Quiz

10 07/07/2024

Session 10:

One-way ANOVA

Non-parametric Statistics

Tutorial 10

Tutorial Questions, Exam

Preparation

Chapter 13 Distribution and One-

Way ANOVA

Chapter 7 Some Non-Parametric

Tests [additional e-Text]

Assessment 3 - Final Quiz

4.2 Learning and teaching activities/expectations

This subject uses a combination of approaches to teaching and learning, including student centred and

teacher directed approaches. The content of the subject is disseminated using a variety of teaching

strategies including lectures, tutorials, secondary research (library and Internet), and online quizzes. The

lectures are in the form of self-paced learning. Students are expected to complete the weekly learning

materials and activities other than tutorial questions before their respective tutorial class. For each

weekly lecture, students will be made aware of the expected learning outcomes, how such outcomes

are relevant to the world of business, and the resources that support the learning outcomes of this

subject. Students learning experience is enhanced through experiential activities and active class

participation.

Students are expected to be active participants in the learning process and are encouraged to

participate in the lectures, tutorials and undertake weekly chapter readings.

Tips on how to get a good grade

Read the assigned materials (text chapters and other documents) prior to class.

Make a copy of the slides and add extra notes from the lecture and your own reading.

Try to relate the concepts read to a current situation for a practical application of the

theory/concepts.

Actively listen to the lectures, tutorials, presentations and discussions.

Participate in the discussions. If you participate, you will get a better understanding of the

concepts with the added bonus that you will remember the material more during exam times. We all

learn from each other.

If you do not understand something, ask. If you are too shy or are intimidated to ask during the

lecture or tutorial, ask after class. Try to remember, there is no such thing as a silly question. If you are

confused or wondering about something presented in class, probably others are confused or wondering

about the same thing. So please, ask for clarification – help the class!

Look for practical examples of economics principles/concepts in everyday situations.

Have the right positive attitude. Your education is an investment in your future.

Learning and teaching activities may be recorded for this subject. Personal Information in the form of

images and audio may be collected by JCU during the recording. This Personal Information may appear

as part of the recording which is accessible to students and staff in this subject on LearnJCU.