Unit Guide

General Information

Unit convenor and teaching staff	Unit convenor and teaching staff Lecturer/Convener Nan Zou nan.zou@mq.edu.au Contact via nan.zou@mq.edu.au Room 606, 12 Wally's Walk Please refer to iLearn for Consultation hours Lecturer/Convener Jun Ma jun.ma@mq.edu.au Contact via jun.ma@mq.edu.au Room 524, 12 Wally's Walk Please refer to iLearn for Consultation hours Jun Ma jun.ma@mq.edu.au
Credit points	Credit points 10
Prerequisites	Prerequisites (STAT6180 or STAT8310 or STAT8830(Cr)) or (BUSA8000 and ECON8040) or (Admission to GradCertResFSE or GradDiptResFSE)
Corequisites	Corequisites
Co-badged status	Co-badged status
Unit description	Unit description This unit introduces students to the fundamentals of sampling methodology and their analysis. The unit covers the basic principles of sampling methods, survey design, questionnaire construction, and data collection techniques. Throughout the unit, students will learn how to use statistical software which will enable them to import, clean, and manipulate data, as well as to visualise and summarise data. Additionally, students will apply an understanding of the end-to-end process by designing a survey, collecting data, and performing exploratory data analysis (EDA) on their data set, which will culminate in a final report. This unit contains elements of Working Integrated Learning (WIL) that students will experience activities that relate to or simulate professional practice as part of their learning. Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Industry, Innovation and Infrastructure

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

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

ULO1: Demonstrate an advanced understanding of the key principles of survey methodology, including different types of surveys, sampling methods, questionnaire design, and data collection techniques.
ULO2: Critically evaluate the methodology used in a survey and the reliability of the results for a given research question.
ULO3: Design and justify sampling schemes to ensure ethical and inclusive practices, including for indigenous projects and data
ULO4: Use statistical software to import, clean, and manipulate survey data
ULO5: Perform exploratory data analysis (EDA) to summarise survey data
ULO6: Communicate survey findings in a clear manner to non-specialist audiences
ULO7: Demonstrate career planning and apply an understanding of the job market for statistics skills.

General Assessment Information

Requirements to Pass this Unit

To pass this unit you must achieve a total mark equal to or greater than 50%.

Hurdle Assessments

There are no hurdle assessments for this unit.

Late Assessment Submission Penalty

Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of '0' will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11:55 pm. A 1-hour grace period is provided to students who experience a technical concern. For any late submission of time-sensitive tasks, such as scheduled quizzes, workshop participation and presentations, students need to submit an application for Special Considerations. In this unit, late submissions will be accepted as follows:

Quizzes - NO, unless Special Consideration is granted
Case Study - YES, Standard Late Penalty applies
Group Project - YES, Standard Late Penalty applies
Reflective Log-book - YES, Standard Late Penalty applies

Special Consideration

The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through https://connect.mq.edu.au.

Attendance and participation

Regular engagement in workshops is crucial for your success in this unit, as these activities provide opportunities to deepen your understanding of the material, collaborate with peers, and receive valuable feedback from instructors, to assist in completing the unit assessments. Your active participation not only enhances your own learning experience but also contributes to a vibrant and dynamic learning environment for everyone.

Assessment Tasks

Name	Weighting	Hurdle	Due
Practice Based Skills for workshops	10%	No	Weekly
Quizzes	20%	No	Weeks 4 and 8
Case Study	30%	No	16/05/2025
Group Project	30%	No	30/05/2025
Reflective Log-book	10%	No	06/06/2025

Practice Based Skills for workshops

Assessment Type ¹: Practice-based task
Indicative Time on Task ²: 0 hours
Due: Weekly
Weighting: 10%

Development of knowledge and skills requires continual practice. During these workshops, you will practice a range of statistical concepts and techniques.