Unit Outline

This unit introduces you to the key ideas and skills used in Statistics at a foundational level. You will learn how to collect, describe, analyse, and interpret data. Throughout the unit, you will work with real‑life examples and practise using statistical methods that are commonly used in science, business, health, and social research. You will also develop your ability to explain your results clearly in written assessments. This unit builds your mathematical thinking, problem‑solving skills, and confidence working with data - skills that are essential for university study in many fields. You will complete exercises, online activities, and assessment tasks that help you practise each topic step by step.

Intended Learning Outcomes

As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.

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


1	Discuss elements of statistical investigations
2	Apply mathematical methods to model data
3	Use software tools to analyse, model, and present data
4	Present the results of statistical investigations with academic integrity

Alterations as a result of student feedback

How will I be Assessed?

For more detailed assessment information please see MyLO.

Assessment schedule


ASSESSMENT TASK #	ASSESSMENT TASK NAME	DATE DUE	WEIGHT	LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:	Statistical investigation	Week 11	30 %	LO1, LO2, LO3, LO4
Assessment Task 2:	Class tests	Week 12	30 %	LO1, LO2, LO3, LO4
Assessment Task 3:	Examination	Exam Period	40 %	LO2, LO3

Assessment details

Assessment Task 1: Statistical investigation

Task Description:

Design and conduct a statistical investigation on real life data.
This will be supported by regular in class workshops.
Your work will be assessed progressively throughout semester, and in week 11 via a brief presentation of your work.

Task Length:

10 hours in total

Due Date:

Week 11

Weight:

30 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Formulate a research question and identify the required data	LO1
2	Design and implement a data collection method	LO2
3	Analyse sample data from populations	LO3
4	Develop statistical inferences	LO3
5	Present and explain results using graphs and figures	LO4
6	Present results of the investigation with academic integrity	LO4

Assessment Task 2: Class tests

Task Description:

Three class tests, running in weeks 5, 8 , and 12.
Each test is worth 10% and will cover content from the previous weeks.

Task Length:

50 mins each

Due Date:

Week 12

Weight:

30 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Interpret problems to identify the analysis approach	LO1
2	Apply statistical modelling and analysis techniques to solve problems	LO2
3	Use spread-sheeting software to model, analyse and present data	LO3
4	Present worked solutions to communicate the analysis approach	LO4

Assessment Task 3: Examination

Task Description:

Supervised in class examination during the examination week.

Task Length:

2 hours

Due Date:

Exam Period

Weight:

40 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Calculate summary statistics	LO2
2	Create data displays	LO3
3	Apply probability distributions to model sample data	LO2
4	Develop statistical inferences from sample data	LO2

How your final result is determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

Academic progress review

The results for this unit may be included in a review of your academic progress. For information about progress reviews and what they mean for all students, see Academic Progress Review in the Student Portal.

Submission of assignments

Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.

Academic integrity

Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see Important Guidelines & Support.

Requests for extensions

If you are unable to submit an assessment task by the due date, you should apply for an extension.

A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.

The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.

Late penalties

Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.