- Class Number 4239
- Term Code 3230
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- Robert Clark
- Robert Clark
- Class Dates
- Class Start Date 21/02/2022
- Class End Date 27/05/2022
- Census Date 31/03/2022
- Last Date to Enrol 28/02/2022
STAT3012 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.
Upon successful completion, students will have the knowledge and skills to:
- Select and design an appropriate method of data collection for a research project;
- Apply basic principles in the design of simple experiments;
- Apply statistical survey sampling techniques to design a routine sample survey; and
- Devise and apply suitable estimation procedures to analyse the results of a routine sample survey.
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.
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. It is not permitted to access email (except to contact the lecturer), social media, online tutoring websites or ghost writing services during the exam.
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.
There is no prescribed textbook. 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 https://library.anu.edu.au/record=b5352931)
Lohr, Sharon L. (2010) Sampling Design and Analysis, 2nd Edn (ANU Library INTERNET RES https://library.anu.edu.au/record=b7330353 or 1 hard copy CHIFLEY HA31.2.L64 2010)
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.
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.
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.
|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||Factorial experimental designs (continued); confounding||Quiz 1|
|6||Confounding (continued) and other advanced topics in experimental design||Assignment 1. Mid-semester exam (week 6 or 7).|
|7||Introduction to survey methods and simple random sampling.|
|8||Proportions, ratios and sub-population inference.|
|9||Systematic sampling and stratification|
|10||Stratification (continued), cluster sampling and two stage sampling|
|11||Two stage sampling (continued); ratio estimation.||Assignment 2.|
|12||Regression estimators. Models in sample surveys.|
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 task||Value||Due Date||Return of assessment||Learning Outcomes|
|Quiz 1||5 %||25/03/2022||25/03/2022||1, 2|
|Assignment 1||15 %||01/04/2022||15/04/2022||1, 2|
|Mid-Semester Exam||30 %||22/04/2022||06/05/2022||1,2|
|Assignment 2||20 %||18/05/2022||27/05/2022||1, 3, 4|
|Final Exam (Surveys)||30 %||02/06/2022||30/06/2022||1, 3, 4|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
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
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.
Course content delivery will take the form of pre-recorded weekly lectures (available via Echo360 on Wattle), an on-campus lecture (which will also be recorded), 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
Centrally scheduled examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information. Exams are open book. It is not permitted to access email (except to contact the lecturer), social media, online tutoring websites or ghost writing services during the exam. It is not permitted to access past exams or exam solutions from this course at any time unless they have been expressly made available by ANU. Similarity between students' exams or assignment submissions due to common use of such online resources will be investigated as possible plagiarism or collusion.
Assessment Task 1
Learning Outcomes: 1, 2
An online quiz will be held via the Wattle site during Week 5, covering material from Weeks 1–4, inclusive. The quiz will be available in a short period of time in Week 5. Students have 30 minutes to complete the quiz from when they first open the quiz. Answers will be available to students after the due date. The precise availability window of the quiz will be announced no later than Monday of Week 4.
Assessment Task 2
Learning Outcomes: 1, 2
Detailed assignment specifications will be made available on Wattle at least two weeks prior to the due date. The assignment must be completed individually or in student-selected groups of up to three students. The assignment will involve designing and conducting an experiment, analysing the results using R, and preparing a written report. 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. Experiments must be safe and in accordance with Covid-19 guidance and lecturer advice should be sought (well in advance of the deadline) if needed.
Assessment Task 3
Learning Outcomes: 1,2
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. The mid-semester exam will cover content from weeks 1-5 (if the exam is held in week 6) or weeks 1-6 (if the exam is held in week 7).
Assessment Task 4
Learning Outcomes: 1, 3, 4
Detailed assignment specifications will be made available on Wattle at least two weeks prior to the due date. The assignment must be completed individually or in student-selected groups of up to three students. The assignment will involve selecting samples from a virtual population which will be available online, analysing the results using R 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 5
Learning Outcomes: 1, 3, 4
Final Exam (Surveys)
The final exam will be a two-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. The exam will cover content on survey topics only.
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.
You will be required to electronically sign a declaration as part of the submission of your assignment. 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.
There is no hardcopy 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.
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.
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.
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
sample surveys design and analysis, statistical ecology, latent variable models, sampling for audit and biosecurity, statistical inference, applied statistics.