Unit Guide

General Information

Unit convenor and teaching staff	Unit convenor and teaching staff Lecturer/Convener Hassan Doosti hassan.doosti@mq.edu.au Contact via Email Room 534, 12 Wally's Walk Please refer to iLearn for Consultation hours. Lecturer/Convener Georgy Sofronov georgy.sofronov@mq.edu.au Contact via Email Room 529, 12 Wally's Walk Please refer to iLearn for Consultation hours.
Credit points	Credit points 10
Prerequisites	Prerequisites (STAT6180 or STAT806 or STAT810 or STAT8310 or STAT830(Cr) or STAT8830(Cr)) or (BUSA8000 and ECON8040)
Corequisites	Corequisites
Co-badged status	Co-badged status This unit is co-badged with STAT7101.
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.

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. Attendance and participation in the workshops is expected for this unit, and is part of the assessment.

Practice Based Skills for workshops

To foster the development of knowledge and skills, it is essential to engage in ongoing practice. This is facilitated through individual and group-based activities, conducted both before and during workshops. It is crucial that you demonstrate your progress in developing knowledge and skills through active participation in these activities. The final mark for this assessment will be determined based on your active engagement in 13 workshops, with the calculation of your final grade based on the best 10 workshop scores.

You do not need to submit an application for Special Consideration if you miss 3 or fewer workshops. In the event that you submit a Special Consideration request for Practice Based Skills workshops, you must specify in your application the total number of workshops you have missed for this unit. Requests with 3 or fewer missed workshops will be automatically declined, as you still have the opportunity to receive 10 workshop scores.

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 Consideration.

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 ask.mq.edu.au.

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	Week 10
Group Project	30%	No	Week 12
Reflective Log-book	10%	No	Week 13

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.