• Class Number 8184
• Term Code 2960
• Class Info
• Unit Value 6 units
• Mode of Delivery In Person
• COURSE CONVENER
• Dr Tao Zou
• LECTURER
• Dr Tao Zou
• Class Dates
• Class Start Date 22/07/2019
• Class End Date 25/10/2019
• Census Date 31/08/2019
• Last Date to Enrol 29/07/2019
SELT Survey Results

Applied Statistics (STAT3008)

Statistics 3008/7001 (Applied Statistics) is a course designed for senior undergraduate and research students who need to design experiments and carry out statistical analysis of their data. Emphasis will be placed on the development of statistical concepts and statistical computing, rather than mathematical details. The content covered will be motivated by problem-solving in many diverse areas of application. The topics covered will include regression modelling with emphasis on model formulation, understanding the implication of model assumptions, diagnostic methods for model checking and interpretation, logistic regression for binary variables and binomial counts, log-linear regression for Poisson counts, and exploratory tools for summarising multivariate responses.

## Learning Outcomes

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

Upon successful completion of the requirements for this course, students will be able to:

·         Working knowledge of the statistical computing package R.

·         Fit simple and multiple linear regression models and interpret model parameters.

·         Summarise and analyse relationships between a response variable and a covariate or covariates.

·         Assess and refine simple and multiple linear regression models based on diagnostic measures.

·         Carry out model selection in a multiple linear regression modelling context.

·         The above outcomes for logistic and Poisson log-linear regression models.

·         To understand basic multivariate analyses techniques and the bootstrap.

## Research-Led Teaching

Where possible, topics covered will be related to current research problems and reflect real world situations to emphasize the use of the techniques covered.

## Additional Course Costs

The only other additional course costs are a calculator, textbook (if purchased) and printing materials.

## Examination Material or equipment

• Calculator (non-programmable).

• Unannotated paper-based dictionary (no approval required).

• Two A4 pages with notes on both sides.

## Required Resources

Recommended Text

Ramsey, F. L. and Schafer, D. W. The Statistical Sleuth, Cengage Learning.

The lecturer has requested that the library makes available as a 2 hour or 2 day loan.

## Staff Feedback

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

• written comments
• verbal comments
• feedback to whole class, groups, individuals, focus group etc

## 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

Scaling

Your final mark for the course will be based on the raw marks allocated for each of your assessment items. However, your final mark may not be the same number as produced by

that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (i.e. if your raw mark exceeds that of another student, then your scaled mark will exceed the scaled mark of that student), and may be either up or down.

Referencing Requirements

The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/.

Support for Students

The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/.

## Class Schedule

Week/Session Summary of Activities Assessment
1 Introduction and getting to know R. Simple linear regression. Lectures.
2 Simple linear regression and simulation in R. Lectures and tutorials.
3 Multiple linear regression. Lectures and tutorials.
4 Multiple linear regression. Lectures and tutorials. Release of Quiz on Wattle
5 Multiple linear regression. Lectures and tutorials. Submission of Quiz
6 Multiple linear regression. Lectures and tutorials. Feedback of Quiz
7 Logistic regression. Lectures and tutorials. Release of Assignment 1 on Wattle
8 Logistic/Log-linear regression. Lectures and tutorials. Submission of Assignment 1
9 Log-linear regression. Lectures and tutorials. Feedback of Assignment 1
10 Multivariate analysis. Lectures and tutorials. Release of Assignment 2 on Wattle
11 Bootstrap. Lectures and tutorials. Submission of Assignment 2
12 Various topics of interest/Review. Lectures and tutorials. Feedback of Assignment 2

## Tutorial Registration

Please see Wattle for tutors’ information

## Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Quiz (Online) 0 % 20/08/2019 30/08/2019 1,2,3
Assignment 1 15 % 24/09/2019 04/10/2019 1,2,3,4,5
Assignment 2 15 % 15/10/2019 25/10/2019 1,2,3,4,5,6,7
Final Exam 70 % 31/10/2019 28/11/2019 1,2,3,4,5,6,7

* 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:

## 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 ANU Online website. 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.

## Examination(s)

The final examination will be based on all the work covered throughout the duration of the semester. The final examination is worth 70% of the final raw score. The exam will include a mixture of real data and numerical questions. Students will be provided with further details regarding the exam as it approaches.

## Assessment Task 1

Value: 0 %
Due Date: 20/08/2019
Return of Assessment: 30/08/2019
Learning Outcomes: 1,2,3

Quiz (Online)

The students will get 60 minutes to complete this quiz individually. This quiz is designed to cover materials from Week 1 to 3. Besides, this quiz is compulsory, and is to be attempted online on Wattle. The quiz will be available on Monday of Week 4 and will be due on Tuesday of Week 5. The notification about access to the quiz will also be announced in Week 3 during lectures and on Wattle. Under no circumstances will the students be able to attempt the quiz outside of the allocated time period. This quiz may require the use of R to analyse real data and there will be a mix of multiple choice questions and numerical evaluation questions.

Value: 0%.

Estimated return date: The week after submission.

## Assessment Task 2

Value: 15 %
Due Date: 24/09/2019
Return of Assessment: 04/10/2019
Learning Outcomes: 1,2,3,4,5

Assignment 1

The students are expected to complete this assignment individually. This assignment is designed to cover materials from Week 4 to 6. Assignments will require the use of R to analyse real data and then to summarise and report on the findings of the analysis. More details will be provided during the lectures and on Wattle.

Assessment Rubrics

Assignments are expected to be printed and contain relevant computer code and graphics.

Value: 15%.

Estimated return date: The week after submission

## Assessment Task 3

Value: 15 %
Due Date: 15/10/2019
Return of Assessment: 25/10/2019
Learning Outcomes: 1,2,3,4,5,6,7

Assignment 2

The students are expected to complete this assignment individually. This assignment is designed to cover materials from Week 7 to 9. Assignments will require the use of R to analyse real data and then to summarise and report on the findings of the analysis. More details will be provided during the lectures and on Wattle.

Assessment Rubrics

Assignments are expected to be printed and contain relevant computer code and graphics.

Value: 15%.

Estimated return date: The week after submission.

## Assessment Task 4

Value: 70 %
Due Date: 31/10/2019
Return of Assessment: 28/11/2019
Learning Outcomes: 1,2,3,4,5,6,7

Final Exam

Centrally administered examinations through Examinations, Graduations & Prizes will be timetabled prior to the examination period. Please check ANU Timetabling for further information. Exam scripts will not be returned.

## 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

This course requires students to submit hard copies of assignments (see below).

## Hardcopy Submission

Assignments are submitted via the physical assignment box at the front of the admin office on Level 4, CBE Building (26C). The cover sheet must use the assignment cover sheet template. Assignments must include the cover sheet available on Wattle site. Please keep a copy of tasks completed for your records. Email and fax submissions are not acceptable.

## Late Submission

No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded.

## 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

The marked hard copy assignments will be mainly returned to students via the admin office on Level 4, CBE Building (26C). Students will be provided with further details on Wattle site regarding the other returning information as it approaches. You should retain a copy of your submission for your own records. If you do not collect your assignments, they will be destroyed after the end of the semester.

## Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. The Course Convener may grant extensions 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

Resubmission of assignments will not be accepted.

## 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).

## Convener

 Dr Tao Zou 6125 6221 tao.zou@anu.edu.au

### Research Interests

Dependent data analysis

### Dr Tao Zou

 Wednesday 11:00 13:00 Wednesday 11:00 13:00

## Instructor

 Dr Tao Zou 6125 6221 tao.zou@anu.edu.au

### Dr Tao Zou

 Wednesday 11:00 13:00 Wednesday 11:00 13:00

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions