STAT7029 is a course that deals with two of the most important approaches to collecting research data - experiments and surveys.

The first part of the course will focus on experimental design and will cover topics such as the analysis of variance; the completely randomised design; the randomized complete block design; Latin squares; factorial designs; and if time permits nested designs.

Survey sampling topics will be covered in the second part of the course and may include: simple random sampling, with and without replacement; estimation of population total, mean, proportion and size; subpopulation inference; systematic sampling; stratified sampling; ratio estimation; regression estimation; unequal probability sampling, including the Hansen and Hurwitz estimator and the Horvitz-Thompson estimator; regression estimation; and if time permits, cluster sampling.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

1. Select, design and show a deep understanding of an appropriate method of data collection for a research project;
2. Explain in detail the basic principles in the design of simple experiments;
3. Demonstrate a high level of understanding of statistical survey sampling techniques; and
4. Derive and apply suitable estimation procedures to analyse the results of a routine sample survey.

Research-Led Teaching

My teaching in this course in statistical design and modelling will draw on my extensive research in sample survey methods and experience in applied survey consulting.

Field Trips

Not relevant in this course.

Additional Course Costs

The application of modern statistical techniques requires familiarity with some statistical computing package and the assignments for this course will require some analysis on a computer. This course makes extensive use of the R computing package, which is freely available to download at http://www.r-project.org. Further instructions on R, including a series of revision workshops will be made available on the Wattle site for this course. If you attend face to face tutorials, you may also find it helpful to also bring a laptop with R installed to the tutorials.

Examination Material or equipment

The mid-semester and final exam will be administered online and be open book. Examination materials and conditions will be noticed to all students via Wattle and the examination

office.

Required Resources

Class materials, including detailed lecture notes, slides, lecture demonstrations, tutorials, assignments and other relevant materials, will be made available on the class web page on Wattle (which is shared for the co-taught courses STAT3012, STAT4029 and STAT7029). It is essential you visit the class Wattle site regularly, but you will need to be correctly enrolled in the course before you can access the Wattle site.

Recommended Resources

There will be a lot of detailed material available on Wattle, so there is NO prescribed text for this course.

I do recommend the following texts, and more references and recommendations will be made as the course progresses:

Lawson, John (2015) Design and Analysis of Experiments with R, (ANU Library INTERNET RES)

Lohr, Sharon L. (2010) Sampling Design and Analysis, 2nd Edn (ANU Library INTERNET RES or 1 hard copy CHIFLEY HA31.2.L64 2010)

Staff Feedback

Students will be given feedback in the following forms in this course:

• Individual feedback will be provided online by the marker of your assignments.
• You are also welcome to ask questions of me at my zoom consultations, by email, or (preferably) on the Wattle Discussion Forum. Unless your emailed question is personal, I will most likely ask you to post it on the Wattle forum for the benefit of all students.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Matrix Algebra

The course uses the R statistical package, which applies matrix algebra to implement the statistical techniques. An understanding of matrix algebra (equivalent to an

introductory mathematics course such as MATH1113) would be helpful in understanding how the R routines work, but such knowledge is not a required prerequisite nor an

examinable part of this course.

Communication and Announcements

If the course instructors or anyone in the School, College or University administration, need to contact you, we will do so via your official ANU student email address, which you need to check regularly. Information from the Registrar and Student Services' office will also be sent to this email address. You are also expected to check the course Wattle site regularly for announcements about this course, e.g. changes to timetables or notifications of cancellations.

Class Schedule

Week/Session	Summary of Activities	Assessment
1	Introduction to data collection and the design of experiments.	Weekly tutorials commence
2	Completely randomised experimental designs and the Analysis of Variance (ANOVA).
3	Blocking and random effects.
4	Factorial experimental designs.
5	Confounding and other advanced topics in experimental design.	Assignment 1 due 23/3
6	Introduction to survey methods and simple random sampling.	Mid-semester exam (week 6 or 7). Feedback on assignment 1 by 1/4.
7	Proportions, ratios and sub-population inference.
8	Systematic sampling.
9	Stratification (and cluster sampling).
10	Ratio estimation.
11	Regression estimators.	Assignment 2 due 18/5
12	Other topics in survey design.	Feedback on assignment 2 by 28/5.

Tutorial Registration

Tutorials will be available on campus, live through scheduled zoom sessions, and as pre-recorded videos. Information regarding enrolments for these options will be provided on Wattle during O-week, prior to the start of the semester.

Assessment Summary

Assessment task	Value	Due Date	Return of assessment	Learning Outcomes
Assignment 1 (Experiments)	15 %	23/03/2021	01/04/2021	1, 2
Mid-semester Exam (Experiments)	25 %	29/03/2021	07/05/2021	1, 2
Assignment 2 (Surveys)	25 %	18/05/2021	28/05/2021	1, 3, 4
Final Exam (Surveys)	35 %	03/06/2021	01/07/2021	1, 3, 4

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

• Student Assessment (Coursework) Policy and Procedure
• Special Assessment Consideration Policy and General Information 
• Student Surveys and Evaluations
• Deferred Examinations
• Student Complaint Resolution Policy and Procedure

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Integrity . In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

Course content delivery will take the form of pre-recorded weekly lectures (available via echo360 on Wattle), pre-recorded weekly workshops (available via echo360 on Wattle) and weekly tutorials, delivered in hybrid format (on campus, live through scheduled Zoom sessions and as pre-recorded videos). Consultations will be live through Zoom. Information regarding enrolments for these options will be provided on Wattle no later than week 1 of the semester.

Examination(s)

See assessment tasks 2 and 4, above. Apart from learning outcome 1, which will be assessed in both examinations, the mid-semester exam will concentrate on experiments (learning outcome 2) and the final exam will concentrate on surveys (learning outcomes 3 and 4).

Centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information.

Assessment Task 1

Assignment 1 (Experiments)

Detailed assignment specifications will be made available on Wattle at least two weeks prior to the due date. Assignment must be completed individually or in student-selected groups of up to three students, and will involve using R to analyze data from a case study, then editing the R output and preparing a written report on your analyses. If you submit as a group, you can submit a single report, but you must include a summary of each person's contribution. All students must adhere to the required social distancing requirements, for example using Zoom for meetings.

Assessment Task 2

Mid-semester Exam (Experiments)

A two hour open-book online examination to be scheduled during the mid-semester exam period (weeks 6 and 7). Students will be notified by the Examinations Office regarding examination dates, times and conditions. Centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information. Further information on exam format will also be provided on Wattle no later than week 4.

Assessment Task 3

Assignment 2 (Surveys)

Detailed assignment specifications will be made available on Wattle at least two weeks prior to the due date. Assignment must be completed individually or in student-selected groups of up to three students, and will involve using R to analyze data from a case study, then editing the R output and preparing a written report on your analyses. If you submit as a group, you can submit a single report, but you must include a summary of each person's contribution. All students must adhere to the required social distancing requirements, for example using Zoom for meetings.

Assessment Task 4

Final Exam (Surveys)

The final exam will be a three-hour open book exam conducted online. Students will be notified by the Examinations Office regarding examination dates, times and conditions. Centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information. Further information on exam format will also be provided on Wattle no later than week 10.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.

The ANU commits to assisting all members of our community to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to be familiar with the academic integrity principle and Academic Misconduct Rule, uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with.

The Academic Misconduct Rule is in place to promote academic integrity and manage academic misconduct. Very minor breaches of the academic integrity principle may result in a reduction of marks of up to 10% of the total marks available for the assessment. The ANU offers a number of online and in person services to assist students with their assignments, examinations, and other learning activities. Visit the Academic Skills website for more information about academic integrity, your responsibilities and for assistance with your assignments, writing skills and study.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption

has been approved by the Associate Dean (Education) submission must be through Turnitin. If group work is involved, then assignments may be submitted by just one member of the group, but must include a completed cover sheet clearly identifying all members of the group. Please keep a copy of the assignment for your records.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean

(Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for examinations.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Marked assignments will be returned online.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

There will be no resubmission of assignments.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

• ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
• ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
• ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
• ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
• ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
• ANUSA supports and represents undergraduate and ANU College students
• PARSA supports and represents postgraduate and research students