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Subject
code and titleWhen
subject is offeredPrerequisitesStaff
involvedLecture
and Tutorial TimesAvailability
for ConsultationSubject
aims and objectivesSyllabusTexts
and referencesAssessment
summaryDeferred
examCalculatorComputing
Component of this CourseTeaching
and Learning ArrangementsDetails
on the operation of the classStudents
with DisabilitiesOther
DetailsGraduate
Qualities
100087 Statistics for Laboratory Science 101
10920 Statistics and Computing 101
006564 Statistics 1B
2. When subject is offered
Semester 2, 2003
Weeks Commencing: 28 July – 14 November (weeks 1-16, including 13 teaching
weeks)
Midsemester break: 22 September – 3 October, Swot Vac: 10 – 14 November,
Exam: 15 – 29 November
NIL
Lecturer Dr. Yan Wang, School of Mathematics and statistics, Mawson Lakes Campus, Room No: OC1 - 30
City West campus, room Y2-76, Telephone: (08) 8302 0449 – direct
Fax: (08) 8302 0765
Email: yan.wang@unisa.edu.au]
Tutors
Barbara Ridley, Kathrine Rosenberg and Julia Piantadosi
Lecture Time: Tuesday, 4.10 – 5.00 p.m., H1-35
Thursday 10:10 – 11.00 a.m., P1-14
Tutorial Times:
| Day | Tuesday | Tuesday | Tuesday | Thursday | Thursday |
| Time | 1:10 | 2:10 | 3:10 | 11:10 | 2:10 |
| Location | SCT2-38 | R1-48 | J1-01 | GP1-13 | GP1-08 |
| Day | Time | Location |
| Tuesday | 12.10 | GP2-09 |
| Tuesday | 12.10 | GP2-05 |
| Tuesday | 1.10 | GP2-09 |
| Tuesday | 1.10 | GP2-06 |
| Thursday | 12.10 | GP2-33 |
| Thursday | 1.10 | GP2-09 |
| Thursday | 1.10 | GP2-33 |
| Thursday | 1.10 | GP2-38 |
| Thursday | 2.10 | GP2-33 |
The Tutorial sessions are compulsory. Each tutorial has a short assessment based on the work covered in the lecture and the tutorial. The marks for the best of 8 out of 11 tests will be averaged and will go towards your final assessment.
6. Availability for Consultation
The times lecturers are available without appointment are shown on their doors. Outside of these times it is always recommended to ensure the availability of the lecturer / tutor.
The lecturer will be available for consultation in my room OC1
– 28
Tuesday 2 - 3 p.m.
Thursday 11 - 12 a.m.
If you are unable to contact the appropriate stuff member during
the day, you can leave a message on their voicemail. Please leave your
name,
telephone
number (including area code if applicable) and the date and time of
the call, so that your call can be returned if necessary.
7. Subject aims and objectives
Aims:
The statistics component of this subject is designed to provide an understanding of, and an appreciation for, the philosophy and methodology of Statistics.
Objectives
On completion of this subject, the student should be able to:
The following Topic Timetable is a guideline only and variations may occur.
| Week | Dates | Topic to be covered |
| Week 1 | 29/7 – 02/8 | Introduction to Statistics.
Measures of Location and Spread |
| Week 2 | 5/8 – 9/8 | Looking at data |
| Week 3 | 12/8 – 16/8 | Correlation
Regression |
| Week 4 | 19/8 – 23/8 | Probability Concepts |
| Week 5 | 26/8 – 30/8 | Normal Distribution |
| Week 6 | 2/9 – 6/9 | Producing Data |
| Week 7 | 9/9 – 13/9 | From Probability to Inference |
| Week 8 | 16/9 – 20/9 | Estimation |
| 23/9 – 4/10 | Mid-semester study break | |
| Week 9 | 7/10 – 11/10 | Statistical tests |
| Week 10 | 14/10 – 18/10 | t-test
Two-sample tests |
| Week 11 | 21/10 – 25/10 | Analysis of Variance |
| Week 12 | 28/10 – 1/11 | Inference for count data and c 2
test
Nonparamteric Statistics |
| Week 13 | 4/11 – 8/11 | Multiple regression
Overview & Revision |
| Week 14 | 5/11 – 9/11 | Swot Vac |
Text
Moore D and McCabe G.
"Introduction to the Practice of Statistics" W. H. Freeman and Company, 1998 (3rd edition).
Available through the Adelaide University Bookshop.
References / Further reading
|
|
Receive during week | Submit or sit in week | Weighting | |
| 1. | Tutorial assessable tests | 3 - 13 | 3 - 13 | 20% |
| 2. | Assignment | 17 September | 22 October | 15% |
| 3. | Written exam | 15 or 16 | 65% |
To achieve a pass in this subject, a student must pass the subject overall; that is, the total of marks from both modules (statistics and computing) must be a pass.
Details of assessment
The Assessment Policies and Procedures Manual gives the University’s
rules and policies on assessment. Assessable components of statistics module
are as follows.
The objectives of the tutorial assessable tests are to provide you an
opportunity to submit answers in the same format as the final exam.
a) Teams for the assignment
The assignment is to be completed by teams of no more than three students,
and teams with one or two students only in them must complete the whole
assignment. Students should have formed teams and each student informed
their tutor of their team's members (names and student IDs) as soon as
possible after the start of semester, but at the latest by the end of week
7. The teams can involve students from more than one tutorial. If you have
difficulty in forming a team, ask your tutor if they for help. It is important
to realise that, in forming teams you are entering into a contract with
your colleagues to cooperate in doing the assignment. This means that you
have a responsibility to meet with them and to undertake the work agreed
to in a timely manner. Also, you should not vary from what has been agreed
without the consent of all team members; and in particular, you cannot
arbitrarily decide to leave a team.
Each team is to produce only one paper as submission for their assignment.
It is not a good idea to assign one question to each member of the team,
and have them work alone to complete it. It must be emphasised that, while
students may prepare material individually, each member has to share responsibility
for the submitted assignment, and should understand all aspects of the
work.
The aim of working in teams is to give practice in the processes of
negotiation, discussion and co-operation that occur in all workplace group
work.
b) A suggested schedule for doing the assignment
Week 8: Have a team meeting to plan how you are going to approach the assignment. At this meeting you could also work out which team members are to be given primary responsibility for which questions.
Week 9: Each team member does the computations for their particular
question(s).
Have a second team meeting to discuss the conclusions to be drawn from
the analyses done so far.
Week 10: Have a third meeting held to review what has been produced.
Week 11: Make final changes, put together the assignment and hand in.
Do not leave the assignment to the last minute. Because some students have a tendency to delay as long as possible, computing facilities can become overloaded in the last week and it can prove difficult to complete the computing task. Inability to get access to PC pools because of overuse is not accepted as grounds for an extension.
Incomplete assignment will not be marked. Assignment must have the cover page attached and completed; otherwise it will not be marked. It must be answered on standard A4 sized paper. Illegible or messy assignments will not be marked. Computer output must be integrated into the text and must not be simply stapled to the end of the assignment. Assignment pages will be stapled in the upper left corner. Please do not paperclips, otherwise some pages may get lost and you may not receive full credit for your work
c) Submission of assignment
- Retain a copy of assignment in the event of it not reaching the marker.
- Back-ups of all computer-based work are your responsibility.
- One copy of a team's assignment, including a signed cover sheet, is to be submitted to the lecturer 22 October, or into the assignment box outside OC1-3 at the Mawson Lakes campus.
- There is a penalty of 10%, of the total mark available for an assignment, for each workday, or part thereof, that it is submitted late.
d) Assessment criteria
Assessment of your assignments will take into account:
- the appropriateness of statistical procedures chosen to answer questions
- clarity of expression
- supporting documentation for arguments
- proper acknowledgment of documentation and use of a bibliographic
convention
- logical planning and sequence
- use of inclusive language
- overall presentation, including correct grammar, spelling and punctuation
- comprehensive coverage reflecting engagement with set readings, text(s)
and other relevant materials
e) Return of assignments
Your assignments will be marked and returned
to you approximately two weeks after they have been submitted.
f) Assignment feedback
The feedback on your assignments will be relevant to the assessment
criteria, provide details on your progress, and incorporate suggestions
on areas for improvement.
g) Re-submission
None
h) Plagiarism
Students should refer to section 5 of the Academic misconduct section
of the University's Assessment Policies and Procedures Manual for the definitions
of what constitutes academic misconduct, including plagiarism
11. Deferred examinations
Deferred examinations are granted according to University policies
by the Faculty on the basis of medical or compassionate grounds. Applications
must be submitted to Campus Central, on the appropriate university form,
within four working days of the examination. Note that there is no possibility
whatever of a deferred examination if you sit for the original examination
or for a deferred examination. If you are awarded a deferred examination,
it is your responsibility to ensure you are available at the time at which
it is scheduled.
11. Calculator
If you have the instruction booklet which goes with your calculator - bring it along.
The aims of the tutorial sessions are
14. Details on the operation of the class
Before attending the lecture, you should read the relevant material from the text. In this subject we encourage students to work collaboratively. You should form a team of up to 3 students as soon as possible after the start of semester. Then the team can work together on the exercises to be done each week. Working in a team will make doing the work easier and more enjoyable. Make regular times each week to do this. These exercises should be attempted before coming to the tutorial.
The primary responsibility for your learning will rest with yourself. My role as your lecturer is to facilitate your learning in the best way that I know how. The prime sources of learning in this course are from the lectures and tutorials combined with the textbook.
You will be expected to spend at least 3 hours a week of your own time working on the statistics component of this subject. I strongly recommend that you keep up with the program outlined on this booklet as we go through the semester. Doing this you will maximise the value that you get out of the contact hours.
15. Students with Disabilities
If you have a disability (medical condition, mental illness, physical, vision, hearing impairment etc) you may require special consideration (e.g. extra time with assignments and exams, exams/assignments in alternative formats). You are invited to discuss this with me as soon as possible. The student adviser (counsellor), Terry Davenport, is located at the Levels Campus, room OC1-44 (phone 8302 3419) or contact the Student Support Centres which are located on every campus. Any information you reveal will be treated with sensitivity and kept confidential.
Note that those students with a non-English background (under the definition of the Department of Employment, Education and Training) or ATSI students are eligible for an extra ten minutes for every hour in the examination.
If you have studied Statistics previously at tertiary level, you may be eligible for status in this subject. The final time for lodging amendment to enrollment forms for this and all other subjects within the University is week 4. After this week you will be charged a HECS fee for this subject. For administration enquiries contact your faculty office.
For other administrative details such as how to lodge medical certificates for deferred exams you should read the University guide.
17. Statistics and Computing 101 and the qualities of a University of South Australia graduate
Your studies in this subject contribute to your development of the qualities
of a University of South Australia graduate.
A graduate of the University of South Australia:
1. operates effectively with and upon a body of knowledge of sufficient
depth to begin professional practice
2. is prepared for lifelong learning in pursuit of personal development
and excellence in professional practice
3. is an effective problem solver, capable of applying logical, critical
and creative thinking to a range of problems
4. can work both autonomously and collaboratively as a professional
5. is committed to ethical action and social responsibility as a professional
and citizen
6. communicates effectively in professional practice and as a member
of the community
7. demonstrates international perspective as a professional and as
a citizen.
The table below indicates the weighting—as a proportion of the total point value of this subject—given to developing one or more of the qualities of a University of South Australia graduate.
| Graduate quality | 1
body of knowledge |
2 lifelong learning | 3
effective problem solving |
4
work autono-mously and collaboratively |
5
ethical action and social responsibility |
6 communicates effectively | 7
international perspective |
| 3 | 1.2 | 1.2 | 0.6 |
