Unit Guide

General Information

Unit convenor and teaching staff	Unit convenor and teaching staff Unit convenor Maurizio Manuguerra Lecturer Thomas Fung stat170.academic@mq.edu.au Lecturer Karol Binkowski stat170.academic@mq.edu.au Frank Schoenig frank.schoenig@mq.edu.au
Credit points	Credit points 3
Prerequisites	Prerequisites
Corequisites	Corequisites
Co-badged status	Co-badged status
Unit description	Unit description This unit provides a broad introduction to statistical concepts and data analysis techniques, providing basic statistical knowledge. The unit is concerned with the development of an understanding of statistical practice and is illustrated by a study of those techniques most commonly used in the sciences, social sciences and humanities. The aim of statistical practice is to make the scientific research process efficient; for this reason statistics is used in disciplines ranging from accountancy to zoology. Topics covered in this unit include: data collection methods; data quality; data summarisation; and statistical models like the normal distribution, followed by sampling distributions and statistical inferences about means, proportions and quantiles. Also studied are methods of analysis relating to comparisons, counted data and relationships, including regression and correlation. Statistical computer packages are used for handling and analysing data along with word processing for reporting the results. However, no prior computing knowledge is assumed.

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:

Organise and summarise data graphically and numerically
Use appropriate techniques to analyse data
Use Minitab to manipulate and analyse data
Draw conclusions from the results of data analysis
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research
Demonstrate foundational learning skills including active engagement in the learning process

General Assessment Information

HURDLES: You must attend and participate in at least 9 of the 11 weekly lectures*, SGTAs from Week 2 to Week 12, and practical classes from Week 1-2 to Week 11-12 (depending on the class you are enrolled in - see details in the unit schedule section), to pass this unit. You must also pass the mid-semester exam, on your first or second attempt. These are hurdle requirements. * The requirement of compulsory participation to lectures can be satisfied by either participating in class or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.

ATTENDANCE AND PARTICIPATION: Please contact your lecturer as soon as possible if you have difficulty attending and participating in any classes. There may be alternatives available to make up the work. If there are circumstances that mean you miss a class, you can apply for Special Consideration.

LATE SUBMISSION OF WORK: All assessment tasks must be submitted by the official due date and time. No marks will be given for late work unless an extension has been granted following a successful application for Special Consideration. Please contact the unit convenor for advice as soon as you become aware that you may have difficulty meeting any of the assessment deadlines.

FINAL EXAM POLICY: You are advised that it is Macquarie University policy not to set early examinations for individuals or groups of students. All students are expected to ensure that they are available until the end of the teaching semester, that is, the final day of the official examination period. The only excuse for not sitting an examination at the designated time is because of documented illness or unavoidable disruption. In these special circumstances, you may apply for special consideration via ask.mq.edu.au.

If you receive special consideration for the final exam, a supplementary exam will be scheduled in the interval between the regular exam period and the start of the next session. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. You can check the supplementary exam information page on FSE101 in iLearn (bit.ly/FSESupp) for dates, and approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.

Assessment Tasks

Name	Weighting	Hurdle	Due
Participation in classes	0%	Yes	During classes*
Class Test 1	10%	No	Week 4
Mid-semester exam	25%	Yes	Week 7
Class Test 2	25%	No	Week 12
Final Examination	40%	No	University Examination Period

Participation in classes

Due: During classes*
Weighting: 0%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

Warning: this is a hurdle assessment. To pass the unit, students need to participate in lecture activities (as defined below), SGTAs and practicals.

More specifically, students must actively participate in at least:

9 lecture activities out of 11 from Week 2 to Week 12, and
9 SGTA classes out of 11 from Week 2 to Week 12, and
9 practical classes out of 11 from Week 1 to Week 11, if enrolled in Thursday/Friday practical classes, or from Week 2 to Week 12 otherwise.

Participation in these activities will gain no marks, but is a requirement to pass the unit. Active participation is defined below.

Lecture activities

There are two ways to participate in STAT170 lecture activities. Students can choose how to participate on a weekly basis (i.e., they do not need to stick with their first choice).

1. Direct participation to classes (main participation mode, recommended)

This participation method refers to in-class participation and participation on the live-stream (not the recording).

During lectures, questions relevant to the content will be displayed and students in class and on the live-stream will have the opportunity to vote for the right answer. The activity will be based on a specific online polling system to be advised, which students will be able to access using any connected device they own (e.g., smartphones, tablets, laptops).

Students enrolled in the face-to-face mode will be required to bring a connected device to class. Students enrolled in the live-streaming mode will be required to watch the live-stream at the same time as the weekly lecture (not the recording at any other time) and will have the responsibility to either find a free computer on campus or to use their own, preferably using the MQ University network for reliability reasons.

Should students not have access to a connected device during lectures, or have technical problems, they should opt for the second way to participate to lecture activities.

2. Successful completion of weekly quizzes - *due date: Sunday of the lecture's week at 11:59pm

Students that opt for this participation mode will be required to successfully complete weekly iLearn quizzes, showing that they are up-to-date with the lecture material. These quizzes, called "Make-up quizzes for missed Kahoot marks", can be found on iLearn under the "Lectures" heading. Each week, up to the due date, students will have unlimited attempts to successfully complete the quizzes.

SGTA and practical classes

Participation will be assessed by teaching staff via rosters and observation of students' work during classes. Attendance and reasonable engagement in the class activities in at least 9 SGTA classes and 9 practical classes are requirements to pass the unit. Sitting for mid-session quizzes counts as participation.

On successful completion you will be able to:

Organise and summarise data graphically and numerically
Use appropriate techniques to analyse data
Use Minitab to manipulate and analyse data
Draw conclusions from the results of data analysis
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research
Demonstrate foundational learning skills including active engagement in the learning process

Class Test 1

Due: Week 4
Weighting: 10%

The first Class Test will be held in Week 4. Students will complete the test during the practical class they are enrolled in. Each student will have access to a computer, and will need to use Minitab to answer the questions of the test. The duration of the test will be 40 minutes.

The test will assess:

all the topics of Module 1 (Weeks 1 and 2)
ability to use Minitab to solve the exercises.

On successful completion you will be able to:

Organise and summarise data graphically and numerically
Use appropriate techniques to analyse data
Use Minitab to manipulate and analyse data
Draw conclusions from the results of data analysis

Mid-semester exam

Due: Week 7
Weighting: 25%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

Warning: this is a hurdle assessment. To pass the unit, students need to achieve 50% or more in this assessment task.

The mid-semester exam will be held in Week 7. Students will complete the exam during the practical class they are registered in. The duration of the mid-semester exam will be 40 minutes.

The mid-semester exam will assess:

all the topics of Modules 1 and 2 (Weeks 1–6)

The requirements will be similar to those of the final exam:

Students will be permitted to take one A4 sheet (any colour), handwritten on both sides (using pens and/or pencils) into the examination. A page of formulae and relevant statistical tables will be given to students. Additionally students will be given blank sheets to work the questions. All the sheets must be submitted at the conclusion of the mid-semester exam.
A statistics calculator must be brought into the examination.

As the mid-semester exam is a hurdle assessment, if students have made a serious first attempt, they will be given one more opportunity. A serious first attempt in a hurdle assessment is defined in STAT170 as the achievement of a mark of 30% or greater. The 30% threshold is firm and cannot be changed or relaxed.

Students will be able to re-sit the mid-semester exam during the semester break. This will allow time for failing students to withdraw without academic penalty.

Students who won't be able to sit the mid-semester exam during the semester break (e.g., because they are overseas or take part in sport competitions), will be allowed to sit the mid-semester exam in Week 8 following a successful Special Consideration application. This option is not optimal and should be avoided, as students failing the second attempt won't be able to withdraw without academic penalty.

On successful completion you will be able to:

Use appropriate techniques to analyse data
Draw conclusions from the results of data analysis

Class Test 2

Due: Week 12
Weighting: 25%

The second Class Test will be held in Week 12. Students will complete the test during the practical class they are enrolled in. Students will have access to a computer and will need to use Minitab to answer the test questions. The duration of the test will be 40 minutes.

The test will assess:

all the topics of Modules 3 and 4 (Weeks 7–10)
ability to use Minitab to solve the exercises.

On successful completion you will be able to:

Organise and summarise data graphically and numerically
Use appropriate techniques to analyse data
Use Minitab to manipulate and analyse data
Draw conclusions from the results of data analysis

Final Examination

Due: University Examination Period
Weighting: 40%

The Final Examination will be a two-hour written exam (plus ten minutes' reading time) and will be held during the examination period. A page of formulae and relevant statistical tables will be attached to the final examination. Students will be permitted to take one A4 sheet (any colour), handwritten on both sides (using pens and/or pencils) into the final examination. This sheet must be submitted with your final exam paper at the conclusion of the exam. A statistics calculator may also be taken into the final examination. See additional information posted on iLearn for more details on preparing for the final exam.

The exam will assess:

all the topics of STAT170, but mainly Modules 3, 4, 5 (Weeks 7–13)

************************************************

The University Examination timetable will be available in draft form approximately eight weeks before the commencement of the examinations and in final form approximately four weeks before the commencement of the examinations at: http://www.timetables.mq.edu.au/.

On successful completion you will be able to:

Use appropriate techniques to analyse data
Draw conclusions from the results of data analysis
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research

Delivery and Resources

Classes

Students should attend the following:

A 2-hour lecture – beginning in Week 1.
A 1-hour SGTA on the topics of the previous lecture – beginning in Week 1.
A 1-hour practical on the topics of the previous one or two lectures – beginning in Week 1 or 2 depending on the class you are enrolled in - please check the "Unit Schedule" section for details.

Please note

Students enrolled in the live-streaming mode should watch the lecture live stream on iLearn each week on Tuesday 10am–12pm.
Practical and SGTA classes are compulsory and solutions will not be provided.

The timetable for classes can be found on the University web site at: http://www.timetables.mq.edu.au.

Students can change their SGTA and practical classes by using eStudent at: https://student1.mq.edu.au/.

Administrative Assistance

For help with STAT170-related administrative matters, students should contact the STAT170 admin officer, via stat170.admin@mq.edu.au.

Required and Recommended Texts and/or Materials

A calculator with statistics mode is essential and should be brought to all classes.
Software:
- For students with PCs, the statistical software package Minitab can be downloaded from the student portal. This can be accessed from the web page for Student IT services: http://students.mq.edu.au/it_services/. For students with Mac computers, iLab can be used to access Minitab. Information on using iLab can also be found on the Student IT services web page.

Recommended textbook used in this unit:

Modern Statistics: An introduction, Don McNeil and Jenny Middledorp (ISBN 9781486007011). This can be purchased in hard copy from, for example, the Coop Bookshop or in e-format (ISBN 9781486022120).

Technology Used and Required

iLearn (which is a version of Moodle) is used for delivery of STAT170 course material and can be accessed at: http://ilearn.mq.edu.au.

Prizes

Don McNeil Prize for Introductory Statistics is named in honour of the foundation Professor of Statistics at Macquarie University. The prize is awarded twice a year to the student with the best overall performance in a first-year statistics unit.

Unit Schedule

Schedule of lectures and assessment (see section on practical classes below):

PART	MODULE	WEEK	LECTURE TOPIC	IN-CLASS ASSESSMENT
Basics	1	1 2	Introduction to statistics; Graphing data Numerical summaries	Class Test 1 [10 marks] ^{Time: Week 3-4} ^{Duration: 40 minutes} ^{Place: practical class} ^{Topics: Module 1 + Minitab} Mid-semester exam [25 marks] ^{Time: Week 6-7} ^{Duration: 40 minutes} ^{Place: practical class} ^{Topics: Modules 1, 2}
	2	3 4 5	The Normal distribution Distribution of means and proportions Confidence intervals
		6	More on populations and samples; Review of Modules 1, 2

Hypothesis testing	3	7 8	One-sample hypothesis test for a population mean ^{_{2 wks break}} Hypothesis tests for comparing population means	Class Test 2 [25 marks] ^{Time: Week 11-12} ^{Duration: 40 minutes} ^{Place: practical class} ^{Topics: Modules 3, 4 + Minitab}
	4	9 10	Simple linear regression (Part 1) Simple linear regression (Part 2)
	5	11 12	Hypothesis tests for a population proportion: z-test and chi-squared goodness-of-fit Chi-squared test of independence
		13	No lecture in week 13.

Schedule of SGTAs:

WEEK	SGTA
1	SGTA1: Intro, do at home before SGTA2
2	SGTA2: on L1, in class
3	SGTA3: on L2, in class
4	SGTA4: on L3, in class
5	SGTA5: on L4, in class
6	SGTA6: on L5, in class
7	SGTA7: on L6, in class
8	SGTA8: on L7, in class
9	SGTA9: on L8, in class
10	SGTA10: on L9, in class
11	SGTA11: on L10, in class
12	SGTA12: on L11, in class
13	SGTA13: on L12, in class

Schedule of practical classes (and assessment):

WEEK	PRACTICAL	WHEN
0-1	P1: Intro, do at home before P2	Before Thursday in week 1
1-2	P2: on L1, in class	In classes running from Thursday in week 1 to Tuesday in week 2
2-3	P3: on L2, in class	In classes running from Thursday in week 2 to Tuesday in week 3
3-4	P4: Class Test 1 + prac on L3, at home	In classes running from Thursday in week 3 to Tuesday in week 4
4-5	P5, on L4, in class	In classes running from Thursday in week 4 to Tuesday in week 5
5-6	P6: on L5, in class	In classes running from Thursday in week 5 to Tuesday in week 6
6-7	P7: Mid-Semester Exam	In classes running from Thursday in week 6 to Tuesday in week 7
7-8	P8: on L7, in class	In classes running from Thursday in week 7 to Tuesday in week 8
8-9	P9: on L8, in class	In classes running from Thursday in week 8 to Tuesday in week 9
9-10	P10: on L9, in class	In classes running from Thursday in week 9 to Tuesday in week 10
10-11	P11: on L10, in class	In classes running from Thursday in week 10 to Tuesday in week 11
11-12	P12: Class Test 2 + prac on L11, at home	In classes running from Thursday in week 11 to Tuesday in week 12
12-13	P13: on L12, in class	In classes running from Thursday in week 12 to Tuesday in week 13

Learning and Teaching Activities

Lectures

Lectures are compulsory* and begin in Week 1. All lectures will be available to students via Echo recordings on iLearn. Copies of the lecture slides will be made available via iLearn and students should bring them to lectures each week in electronic or printed format. The lectures are live-streamed and recorded via ‘echo360,’ and can be accessed on iLearn (under Echo Recordings). * The requirement of compulsory participation to lectures can be satisfied by either participating in class or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.

SGTAs

SGTAs are compulsory and begin in Week 2. Each SGTA, except the first, is based on work from the previous week’s lecture. The aim of SGTAs is to practise techniques and to fully understand concepts covered in lectures. SGTAs are designed for students to work together in groups. The emphasis on group work is to explore ideas, devise and ask questions and plan ways to answer them. Since SGTAs consist of group activities, solutions will generally not be provided online.

Practicals

Practical classes are compulsory and begin in Week 1 (for classes running on Thursday and Friday) or in week 2 (for classes running on Wednesday). This special schedule is necessary to allow all students to sit their first test before the census date, i.e. the last date at which students can withdraw without financial and academic penalties. During practical classes will be introduced to Minitab, a dedicated statistical package. Every week throughout the semester, students will be required to work through practical material that teaches them how to apply techniques learned during lectures by using Minitab. The weekly practical material is based on work from the previous one or two lectures. Practical material, and the required Minitab datasets, will be made available via iLearn. Students should be able to easily access the practical material, in electronic or printed format, during their practical session each week.

Staff consultation (office) hours

Consultation hours are available each week in the Department of Mathematics and Statistics to help students enrolled in Introductory Statistics. The Mathematics and Statistics Department is located in 12 Wally's Walk on level 6. A list of consultation times will be made available both on iLearn and on the Department website. No appointments are necessary during these hours.

Numeracy Centre

The Numeracy Centre exists to help students who are experiencing difficulties with numeracy-based subjects such as STAT170. Any student who lacks the knowledge of mathematics needed for STAT170 is encouraged to seek the help of the Centre, which is located in 14 Sir Christopher Ondaatje Ave 188. The Centre offers a number of services including individual help, supplementary workshops that run each week and an opportunity to meet with other students to discuss problems. Please check their website at https://tinyurl.com/yaueof3y

Computing Laboratories

Minitab will be used in practical sessions and for completing assignments. Assignments and quizzes can be completed in the computing labs in 6 Eastern Road. Computing labs use iLab, so work undertaken must be saved to the iLab desktop and then emailed. Opening hours of computing laboratories during semester: 8am–10pm Mon–Fri; 9am–5pm Sat–Sun. For opening hours during semester breaks, see the notice boards outside the computing laboratories. Look for additional information on the whiteboards in the labs. Please note that computing labs may be booked for classes. Check the timetable on the door of the lab to make sure that the room is free.

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Academic Appeals Policy
Academic Integrity Policy
Academic Progression Policy
Assessment Policy
Fitness to Practice Procedure
Grade Appeal Policy
Complaint Management Procedure for Students and Members of the Public
Special Consideration Policy (Note: The Special Consideration Policy is effective from 4 December 2017 and replaces the Disruption to Studies Policy.)

Undergraduate students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.

Graduate Capabilities

Creative and Innovative

Our graduates will also be capable of creative thinking and of creating knowledge. They will be imaginative and open to experience and capable of innovation at work and in the community. We want them to be engaged in applying their critical, creative thinking.

This graduate capability is supported by:

Learning outcomes

Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research

Capable of Professional and Personal Judgement and Initiative

We want our graduates to have emotional intelligence and sound interpersonal skills and to demonstrate discernment and common sense in their professional and personal judgement. They will exercise initiative as needed. They will be capable of risk assessment, and be able to handle ambiguity and complexity, enabling them to be adaptable in diverse and changing environments.

This graduate capability is supported by:

Learning outcomes

Draw conclusions from the results of data analysis
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research

Assessment tasks

Participation in classes
Final Examination

Learning and teaching activities

Lectures are compulsory* and begin in Week 1. All lectures will be available to students via Echo recordings on iLearn. Copies of the lecture slides will be made available via iLearn and students should bring them to lectures each week in electronic or printed format. The lectures are live-streamed and recorded via ‘echo360,’ and can be accessed on iLearn (under Echo Recordings). * The requirement of compulsory participation to lectures can be satisfied by either participating in class or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.
SGTAs are compulsory and begin in Week 2. Each SGTA, except the first, is based on work from the previous week’s lecture. The aim of SGTAs is to practise techniques and to fully understand concepts covered in lectures. SGTAs are designed for students to work together in groups. The emphasis on group work is to explore ideas, devise and ask questions and plan ways to answer them. Since SGTAs consist of group activities, solutions will generally not be provided online.
Practical classes are compulsory and begin in Week 1 (for classes running on Thursday and Friday) or in week 2 (for classes running on Wednesday). This special schedule is necessary to allow all students to sit their first test before the census date, i.e. the last date at which students can withdraw without financial and academic penalties. During practical classes will be introduced to Minitab, a dedicated statistical package. Every week throughout the semester, students will be required to work through practical material that teaches them how to apply techniques learned during lectures by using Minitab. The weekly practical material is based on work from the previous one or two lectures. Practical material, and the required Minitab datasets, will be made available via iLearn. Students should be able to easily access the practical material, in electronic or printed format, during their practical session each week.
Consultation hours are available each week in the Department of Mathematics and Statistics to help students enrolled in Introductory Statistics. The Mathematics and Statistics Department is located in 12 Wally's Walk on level 6. A list of consultation times will be made available both on iLearn and on the Department website. No appointments are necessary during these hours.

Commitment to Continuous Learning

Our graduates will have enquiring minds and a literate curiosity which will lead them to pursue knowledge for its own sake. They will continue to pursue learning in their careers and as they participate in the world. They will be capable of reflecting on their experiences and relationships with others and the environment, learning from them, and growing - personally, professionally and socially.

This graduate capability is supported by:

Learning outcome

Demonstrate foundational learning skills including active engagement in the learning process

Assessment tasks

Participation in classes
Mid-semester exam

Discipline Specific Knowledge and Skills

Our graduates will take with them the intellectual development, depth and breadth of knowledge, scholarly understanding, and specific subject content in their chosen fields to make them competent and confident in their subject or profession. They will be able to demonstrate, where relevant, professional technical competence and meet professional standards. They will be able to articulate the structure of knowledge of their discipline, be able to adapt discipline-specific knowledge to novel situations, and be able to contribute from their discipline to inter-disciplinary solutions to problems.

This graduate capability is supported by:

Learning outcomes

Organise and summarise data graphically and numerically
Use appropriate techniques to analyse data
Use Minitab to manipulate and analyse data
Draw conclusions from the results of data analysis
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research

Assessment tasks

Participation in classes
Class Test 1
Mid-semester exam
Class Test 2
Final Examination

Learning and teaching activities

Lectures are compulsory* and begin in Week 1. All lectures will be available to students via Echo recordings on iLearn. Copies of the lecture slides will be made available via iLearn and students should bring them to lectures each week in electronic or printed format. The lectures are live-streamed and recorded via ‘echo360,’ and can be accessed on iLearn (under Echo Recordings). * The requirement of compulsory participation to lectures can be satisfied by either participating in class or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.
SGTAs are compulsory and begin in Week 2. Each SGTA, except the first, is based on work from the previous week’s lecture. The aim of SGTAs is to practise techniques and to fully understand concepts covered in lectures. SGTAs are designed for students to work together in groups. The emphasis on group work is to explore ideas, devise and ask questions and plan ways to answer them. Since SGTAs consist of group activities, solutions will generally not be provided online.
Practical classes are compulsory and begin in Week 1 (for classes running on Thursday and Friday) or in week 2 (for classes running on Wednesday). This special schedule is necessary to allow all students to sit their first test before the census date, i.e. the last date at which students can withdraw without financial and academic penalties. During practical classes will be introduced to Minitab, a dedicated statistical package. Every week throughout the semester, students will be required to work through practical material that teaches them how to apply techniques learned during lectures by using Minitab. The weekly practical material is based on work from the previous one or two lectures. Practical material, and the required Minitab datasets, will be made available via iLearn. Students should be able to easily access the practical material, in electronic or printed format, during their practical session each week.
Consultation hours are available each week in the Department of Mathematics and Statistics to help students enrolled in Introductory Statistics. The Mathematics and Statistics Department is located in 12 Wally's Walk on level 6. A list of consultation times will be made available both on iLearn and on the Department website. No appointments are necessary during these hours.
The Numeracy Centre exists to help students who are experiencing difficulties with numeracy-based subjects such as STAT170. Any student who lacks the knowledge of mathematics needed for STAT170 is encouraged to seek the help of the Centre, which is located in 14 Sir Christopher Ondaatje Ave 188. The Centre offers a number of services including individual help, supplementary workshops that run each week and an opportunity to meet with other students to discuss problems. Please check their website at https://tinyurl.com/yaueof3y
Minitab will be used in practical sessions and for completing assignments. Assignments and quizzes can be completed in the computing labs in 6 Eastern Road. Computing labs use iLab, so work undertaken must be saved to the iLab desktop and then emailed. Opening hours of computing laboratories during semester: 8am–10pm Mon–Fri; 9am–5pm Sat–Sun. For opening hours during semester breaks, see the notice boards outside the computing laboratories. Look for additional information on the whiteboards in the labs. Please note that computing labs may be booked for classes. Check the timetable on the door of the lab to make sure that the room is free.

Critical, Analytical and Integrative Thinking

We want our graduates to be capable of reasoning, questioning and analysing, and to integrate and synthesise learning and knowledge from a range of sources and environments; to be able to critique constraints, assumptions and limitations; to be able to think independently and systemically in relation to scholarly activity, in the workplace, and in the world. We want them to have a level of scientific and information technology literacy.

This graduate capability is supported by:

Learning outcomes

Use appropriate techniques to analyse data
Use Minitab to manipulate and analyse data
Draw conclusions from the results of data analysis
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research

Assessment tasks

Participation in classes
Class Test 1
Mid-semester exam
Class Test 2
Final Examination

Learning and teaching activities

Lectures are compulsory* and begin in Week 1. All lectures will be available to students via Echo recordings on iLearn. Copies of the lecture slides will be made available via iLearn and students should bring them to lectures each week in electronic or printed format. The lectures are live-streamed and recorded via ‘echo360,’ and can be accessed on iLearn (under Echo Recordings). * The requirement of compulsory participation to lectures can be satisfied by either participating in class or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.
SGTAs are compulsory and begin in Week 2. Each SGTA, except the first, is based on work from the previous week’s lecture. The aim of SGTAs is to practise techniques and to fully understand concepts covered in lectures. SGTAs are designed for students to work together in groups. The emphasis on group work is to explore ideas, devise and ask questions and plan ways to answer them. Since SGTAs consist of group activities, solutions will generally not be provided online.
Practical classes are compulsory and begin in Week 1 (for classes running on Thursday and Friday) or in week 2 (for classes running on Wednesday). This special schedule is necessary to allow all students to sit their first test before the census date, i.e. the last date at which students can withdraw without financial and academic penalties. During practical classes will be introduced to Minitab, a dedicated statistical package. Every week throughout the semester, students will be required to work through practical material that teaches them how to apply techniques learned during lectures by using Minitab. The weekly practical material is based on work from the previous one or two lectures. Practical material, and the required Minitab datasets, will be made available via iLearn. Students should be able to easily access the practical material, in electronic or printed format, during their practical session each week.
Consultation hours are available each week in the Department of Mathematics and Statistics to help students enrolled in Introductory Statistics. The Mathematics and Statistics Department is located in 12 Wally's Walk on level 6. A list of consultation times will be made available both on iLearn and on the Department website. No appointments are necessary during these hours.
The Numeracy Centre exists to help students who are experiencing difficulties with numeracy-based subjects such as STAT170. Any student who lacks the knowledge of mathematics needed for STAT170 is encouraged to seek the help of the Centre, which is located in 14 Sir Christopher Ondaatje Ave 188. The Centre offers a number of services including individual help, supplementary workshops that run each week and an opportunity to meet with other students to discuss problems. Please check their website at https://tinyurl.com/yaueof3y
Minitab will be used in practical sessions and for completing assignments. Assignments and quizzes can be completed in the computing labs in 6 Eastern Road. Computing labs use iLab, so work undertaken must be saved to the iLab desktop and then emailed. Opening hours of computing laboratories during semester: 8am–10pm Mon–Fri; 9am–5pm Sat–Sun. For opening hours during semester breaks, see the notice boards outside the computing laboratories. Look for additional information on the whiteboards in the labs. Please note that computing labs may be booked for classes. Check the timetable on the door of the lab to make sure that the room is free.

Problem Solving and Research Capability

Our graduates should be capable of researching; of analysing, and interpreting and assessing data and information in various forms; of drawing connections across fields of knowledge; and they should be able to relate their knowledge to complex situations at work or in the world, in order to diagnose and solve problems. We want them to have the confidence to take the initiative in doing so, within an awareness of their own limitations.

This graduate capability is supported by:

Learning outcomes

Use appropriate techniques to analyse data
Use Minitab to manipulate and analyse data
Draw conclusions from the results of data analysis
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research

Assessment tasks

Participation in classes
Class Test 1
Mid-semester exam
Class Test 2
Final Examination

Learning and teaching activities

Lectures are compulsory* and begin in Week 1. All lectures will be available to students via Echo recordings on iLearn. Copies of the lecture slides will be made available via iLearn and students should bring them to lectures each week in electronic or printed format. The lectures are live-streamed and recorded via ‘echo360,’ and can be accessed on iLearn (under Echo Recordings). * The requirement of compulsory participation to lectures can be satisfied by either participating in class or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.
SGTAs are compulsory and begin in Week 2. Each SGTA, except the first, is based on work from the previous week’s lecture. The aim of SGTAs is to practise techniques and to fully understand concepts covered in lectures. SGTAs are designed for students to work together in groups. The emphasis on group work is to explore ideas, devise and ask questions and plan ways to answer them. Since SGTAs consist of group activities, solutions will generally not be provided online.
Practical classes are compulsory and begin in Week 1 (for classes running on Thursday and Friday) or in week 2 (for classes running on Wednesday). This special schedule is necessary to allow all students to sit their first test before the census date, i.e. the last date at which students can withdraw without financial and academic penalties. During practical classes will be introduced to Minitab, a dedicated statistical package. Every week throughout the semester, students will be required to work through practical material that teaches them how to apply techniques learned during lectures by using Minitab. The weekly practical material is based on work from the previous one or two lectures. Practical material, and the required Minitab datasets, will be made available via iLearn. Students should be able to easily access the practical material, in electronic or printed format, during their practical session each week.
Consultation hours are available each week in the Department of Mathematics and Statistics to help students enrolled in Introductory Statistics. The Mathematics and Statistics Department is located in 12 Wally's Walk on level 6. A list of consultation times will be made available both on iLearn and on the Department website. No appointments are necessary during these hours.
The Numeracy Centre exists to help students who are experiencing difficulties with numeracy-based subjects such as STAT170. Any student who lacks the knowledge of mathematics needed for STAT170 is encouraged to seek the help of the Centre, which is located in 14 Sir Christopher Ondaatje Ave 188. The Centre offers a number of services including individual help, supplementary workshops that run each week and an opportunity to meet with other students to discuss problems. Please check their website at https://tinyurl.com/yaueof3y
Minitab will be used in practical sessions and for completing assignments. Assignments and quizzes can be completed in the computing labs in 6 Eastern Road. Computing labs use iLab, so work undertaken must be saved to the iLab desktop and then emailed. Opening hours of computing laboratories during semester: 8am–10pm Mon–Fri; 9am–5pm Sat–Sun. For opening hours during semester breaks, see the notice boards outside the computing laboratories. Look for additional information on the whiteboards in the labs. Please note that computing labs may be booked for classes. Check the timetable on the door of the lab to make sure that the room is free.

Effective Communication

We want to develop in our students the ability to communicate and convey their views in forms effective with different audiences. We want our graduates to take with them the capability to read, listen, question, gather and evaluate information resources in a variety of formats, assess, write clearly, speak effectively, and to use visual communication and communication technologies as appropriate.

This graduate capability is supported by:

Learning outcomes

Organise and summarise data graphically and numerically
Write a discussion based on the results of a statistical analysis
Apply statistical techniques to problems arising from diverse fields of research

Assessment tasks

Participation in classes
Mid-semester exam
Final Examination

Learning and teaching activities

Lectures are compulsory* and begin in Week 1. All lectures will be available to students via Echo recordings on iLearn. Copies of the lecture slides will be made available via iLearn and students should bring them to lectures each week in electronic or printed format. The lectures are live-streamed and recorded via ‘echo360,’ and can be accessed on iLearn (under Echo Recordings). * The requirement of compulsory participation to lectures can be satisfied by either participating in class or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.
SGTAs are compulsory and begin in Week 2. Each SGTA, except the first, is based on work from the previous week’s lecture. The aim of SGTAs is to practise techniques and to fully understand concepts covered in lectures. SGTAs are designed for students to work together in groups. The emphasis on group work is to explore ideas, devise and ask questions and plan ways to answer them. Since SGTAs consist of group activities, solutions will generally not be provided online.
Practical classes are compulsory and begin in Week 1 (for classes running on Thursday and Friday) or in week 2 (for classes running on Wednesday). This special schedule is necessary to allow all students to sit their first test before the census date, i.e. the last date at which students can withdraw without financial and academic penalties. During practical classes will be introduced to Minitab, a dedicated statistical package. Every week throughout the semester, students will be required to work through practical material that teaches them how to apply techniques learned during lectures by using Minitab. The weekly practical material is based on work from the previous one or two lectures. Practical material, and the required Minitab datasets, will be made available via iLearn. Students should be able to easily access the practical material, in electronic or printed format, during their practical session each week.
Consultation hours are available each week in the Department of Mathematics and Statistics to help students enrolled in Introductory Statistics. The Mathematics and Statistics Department is located in 12 Wally's Walk on level 6. A list of consultation times will be made available both on iLearn and on the Department website. No appointments are necessary during these hours.

Engaged and Ethical Local and Global citizens

As local citizens our graduates will be aware of indigenous perspectives and of the nation's historical context. They will be engaged with the challenges of contemporary society and with knowledge and ideas. We want our graduates to have respect for diversity, to be open-minded, sensitive to others and inclusive, and to be open to other cultures and perspectives: they should have a level of cultural literacy. Our graduates should be aware of disadvantage and social justice, and be willing to participate to help create a wiser and better society.

This graduate capability is supported by:

Learning outcome

Demonstrate foundational learning skills including active engagement in the learning process

Assessment task

Participation in classes

Changes from Previous Offering

The requirement of compulsory participation to lectures can now be satisfied by either participating in class, as in previous offerings, or successfully completing a weekly quiz. Please refer to the "Assessment Tasks" section for details.

Changes since First Published

Date	Description
24/07/2019	SGTAs start in week 2, the information is now correct.