1. Statement of Purpose
Stat170 provides a broad introduction to statistical practice and data analysis techniques. It aims to equip students with a basic understanding of statistics, such that they are able to employ appropriate methods of analysis in various circumstances. The techniques learnt are widely used in the sciences, social sciences, business and many other fields of study.
Topics covered include study design, data manipulation, statistical inference, regression and analysis of categorical data.
2. Administrative Details
Stat170 is a three credit point unit taken over one semester at SIBT. It counts as a core unit towards a number of streams of SIBT’s Diploma of Commerce; it may count as an elective towards other Diplomas.
SIBT Student Portal
Consultation hours of all teaching staff will be advised in class at the beginning of the semester.
3. Pre- and Co-requisites
There are no prerequisites or co requisites for this unit.
Stat170 is a prerequisite for all 200 and 300 level statistics units and will be the first statistics unit taken by students intending to major in Statistics. It is also a requirement for many other areas of study and, as such, is a core unit for a number of courses at Macquarie University.
4. Student Workload
The expected student workload per week for this unit comprises of:
Five timetabled contact hours per week (see mode of delivery). Up to seven hours of personal study per week.
Up to a total of twelve hours student workload per week.
5. Mode of Delivery
Students should attend the following classes each week:
1 x 3 hour lecture beginning in Week 1
1 x 1 hour tutorial beginning in Week 1
1 x 1 hour practical beginning in Week 2
Lectures begin in Week 1. Students should attend ONE 3-hour session per week. Copies of the lecture slides will be made available via iLearn. Students should print out the lecture slides and bring the printout to the lecture each week.
Tutorials begin in Week 1 and are generally based on work from the previous week’s lecture. The aim of tutorials is to practise techniques learnt in lectures. Tutorials 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. We believe that working within a group framework will be beneficial for the educational and personal development of students. Tutorial material will be made available via iLearn. Students should print out their tutorial material and bring the printout to their tutorial class each week.
Practicals begin in Week 2.
Each practical session is based on work from the previous week’s lecture. Each practical session is based on work from the previous week’s lecture. During these sessions you will use the statistical computer package Minitab and the techniques learned during lectures to help solve statistical problems. Practical material, and the required datasets, will be made available via iLearn. Students should print out their practical material and bring the printout to their practical session each week. Prior to (or during) each practical session, students will need to download the weekly Minitab data files onto a storage device (such as a USB).
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6. Specialist Facilities or Resource Requirements
SIBT is committed to providing additional Academic Assistance programs for students to maximise their opportunity to successfully complete units of study. Information is available at SIBT reception and includes: Academic Assistance Programs eg, Exam Preparation, PAL (Peer Assisted Learning), Literacy Workshops, Academic Advantage (Academic Writing Skills), Numeracy. Students need to have access to the internet and have a current iLearn account and be enrolled in Stat170S this semester. The URL for iLearn is http://iLearn.mq.edu.au/. User name and password information will be given to you in lectures in Week 1 and via the SIBT portal. Each week, from iLearn, students need to
read the weekly information
download and print lecture, tutorial and practical materials
When available, students need to
access the online quizzes, and complete them before the due date download and print the Assignments and complete them before the due date
Student Support Services:
The Numeracy Centre was set up to help students having difficulties with numeracy based subjects. Any student who lacks the knowledge of mathematics needed for Stat170 is encouraged to seek the help of the Centre which is located in C5A225. The Centre offers a number of services including individual help, supplementary workshops which are run each week and an opportunity to meet with other students to discuss problems.
The statistical analysis program, Minitab, will be used in practical sessions and for completing assignments. Assignments, Practicals and online quizzes can be completed in the computing laboratories in E3A.
SIBT requires all students to have a satisfactory level of attendance in the scheduled course contact hours each semester for the following reasons:
Attendance is linked to academic performance and to students achieving satisfactory academic progress; that is, passing at least 50% of enrolled units each semester. Students may not be able to apply for special consideration or deferred examinations, lodge an application for a grade review or be eligible to sit the final examinations if they have not met the 80% attendance requirement.
Attendance is recorded electronically through the SIBT Portal during each class. A student is not permitted to ‘swap’ classes or to attend a class other than the one in which they are enrolled without prior permission. Students are required to attend all lectures, tutorials and practicals at the times shown on their timetable. This means arriving on time, including returning from breaks on time and staying for the duration of the lecture, tutorial or practical. If students arrive late to class they may be asked to wait until the lecturer admits them to the room. Attendance Guidelines
1. If a student misses 30 minutes of a lecture they will be marked absent and a note relating to the period of absence will be recorded on the roll.
2. If a student misses 15 minutes of a tutorial/practical/laboratory they will be marked absent and a note relating to the period of absence will be recorded on the roll. 3. Breaks are approximately 10-15 minutes during a 3 hour session. For more information refer to SIBT’s Attendance Policy on the Portal. http://www.sibt.nsw.edu.au/policies
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8. Student Learning Outcomes
After successful completion of this unit, students will be able to: organise and summarise data graphically and numerically (Graduate Capability 1) use appropriate techniques to analyse data (Graduate Capabilities 1,2,3) use Minitab to manipulate and analyse data (Graduate Capabilities 1,2,3) draw conclusions from the results of data analysis (Graduate Capabilities 1,2,3,8) write a report based on the results of a statistical analysis (Graduate Capabilities 1,2,4,6,8)
use the Internet for obtaining information and communicating with other students in online discussions (Graduate capability 5)
work co-operatively as a member of a team (Graduate Capability 5) apply statistical techniques to problems arising from diverse fields of research
(Graduate Capabilities 1,2,3,4,5,6,8,9)
9. Graduate Capabilities
In addition to the discipline-based learning objectives, all academic programs at SIBT and Macquarie seek to develop students’ core values of scholarship, ethical practice, sustainability and engagement.
Graduate capabilities for STAT170 students include:
SIBT Diploma Graduate Capability
Discipline knowledge and skills
Analytical and critical thinking
Creative and innovative thinking skills and attributes
Judgement and initiative
Commitment to continuous learning
10. Vocational Outcomes
The study of statistics can lead to job opportunities in many fields including medicine, social sciences, biology and finance.
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11. Unit Content
Introduction to Statistics
The Normal Distribution
Distribution of means and proportions
One sample hypothesis test for a population
Hypothesis tests for comparing population
One and two sample hypothesis tests for
Simple linear regression (Part 1)
Simple linear regression (Part 2)
Categorical Data Analysis
Review of Stat 170
12. Student Assessment
2 StatQuizzes (2% each)
4 PracQuizzes (2% each)
Please note that a student must meet the performance standard required in both the coursework and the examination sections of this unit in order to be
awarded a particular grade.
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30 marks total
The two assignments, the two StatQuizzes (offered via iLearn) and the four PracQuizzes (offered via iLearn) are designed to allow students to further develop their understanding of the material presented in lectures, tutorial and practical sessions. The online quizzes (both the StatQuizzes and the PracQuizzes) provide students with timely feedback and the opportunity for students to assess their progress. Furthermore the PracQuizzes provide students with timely feedback on their work performed during the Practical sessions.
The StatQuizzes will be made available on iLearn. StatQuiz1 and StatQuiz2 should be completed in your own time (within available dates) on any PC that is connected to the internet. Each of the StatQuizzes will be made available on iLearn two weeks prior to the due dates. Students are allowed three attempts at each StatQuiz. The highest score obtained will count towards the grade. Each time a student downloads a StatQuiz a new version of it will be generated. The quizzes are designed to give students an opportunity to practice theoretical and mechanical aspects of statistics. Each StatQuiz is worth 2%. The due dates are provided in the Unit Guide on page 9.
There is a demo StatQuiz available on iLearn. This demo StatQuiz is designed to give students an opportunity to familiarize themselves with the Quiz System in iLearn, and with the different types of questions used in the quizzes. Students can have up to five attempts at the demo StatQuiz. The demo StatQuiz does not count towards assessment marks. PracQuizzes
The PracQuizzes will be made available on iLearn. All four PracQuizzes should be completed in your own time (within available dates) on any PC that is connected to the internet. Each of the PracQuizzes will be made available on iLearn two weeks prior to the due dates. The PracQuizzes are based on the questions posed in the Practical material. It is therefore very important that students complete the relevant practical worksheets prior to attempting the PracQuizzes. Students are allowed two attempts at each PracQuiz. The highest score obtained will count towards the grade. Each PracQuiz is worth 2%. The due dates are provided in the Unit Guide on page 9.
Extensions will not be granted for StatQuizzes, PracQuizzes. Assignments
There are two assignments in STAT170. They will be made available on iLearn two weeks prior to the due dates (due dates are provided in the Unit Guide on page 9). Assignment 1 is worth 6% and Assignment 2 is worth 12%. Assignments provide an opportunity to develop and to apply sound statistical practice. They reinforce the concepts covered in lectures and the skills learned in practical sessions.
Assignments are to be handed in to the assignment box at SIBT reception by 5pm on the Monday of the week that the assignment is due.
An Assignment Cover Sheet (available on the Portal or at SIBT reception) must be attached to the hardcopy assignment. Following approval, via Special Consideration arrangements, late submissions can also be handed in to SIBT reception. Students must keep a backup copy. Students must also submit an electronic copy with each of the two assignments. The electronic copy must follow the following naming convention:
Stat170_Tutorial group #_StudentID_Assignment #.pdf
The electronic copy must be submitted into Submission Drive P (STAT170) by the due time. Example of naming convention:
STAT170_Tutorial group 27 _SDZQD1202_Assignment 1_pdf
The above example shows the name of the pdf file submitted, to Drive P, by the student who has the student ID SDZQD1202. This student is submitting
assignment 1 and is enrolled in Tutorial group 27.
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70 marks total
The class test and final examination are both used to assess students’ understanding of the material presented in the unit.
The Class Test will be a multiple choice paper and held in your tutorial class in week 8. You must sit the class test in the tutorial class you are registered in. A page of formulas and relevant statistical tables will be attached to the class test. A statistics calculator may be taken into the class test. No other material (apart from writing equipment) will be permitted in the class test.
The Final Examination will be a three hour written exam (plus ten minutes reading time) and will be held during the examination period.
A page of formulas and relevant statistical tables will be attached to the final examination. Students will be permitted to take one A4 sheet, provided by SIBT, handwritten on both sides, into the final examination. A statistics calculator may also be taken into the final examination.
Example questions of the kind to be encountered in the final examination will be provided to aid the revision process. These will be representative both of the content of the current offering and of the style of question in the final examination paper. Where appropriate, these may be taken from the final examination paper for a previous offering of the unit. Possible correct answers to these kinds of questions will be discussed, and guidance on how to answer questions of the style given will be provided.
Although the Final Exam is nominally worth 60%, marks are not simply added together from the various assessments to produce the final grade. A student must achieve the performance standard defining a particular grade in both the coursework (Assignments and Quizzes) and the Examination Section (Class Test and Final Examination) of the unit in order to earn that grade. For example, a student’s performance needs to be judged of a credit standard in both the coursework and the Examination Section to be awarded a credit grade.
Students MUST perform satisfactorily in the final examination in order to pass the unit regardless of their performance throughout the semester.
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Due Dates for Assessment Tasks:
Assessment Tasks and Due Dates
Quizzes are due by 5pm on Fridays,
Assignment 1 is due by 5pm on 29/7/13
Assignment 2 is due by 5pm on 9/9/13
StatQuiz Demo (does not count towards
StatQuiz 1 (based on Lecture material
from Weeks 1 – 3)
PracQuiz 1 (based on Practical material
from Weeks 2 – 4)
PracQuiz 2 (based on Practical material
from Weeks 5 and 6)
(held during Tutorials in Week 8)
StatQuiz 2 (based on Lecture material
from Weeks 4 – 8)
PracQuiz 3 (based on Practical material
from Weeks 7 – 9)
PracQuiz 4 (based on Practical material
from Weeks 10 – 12)
SIBT recognises that a student’s performance in assessment tasks or examinations may be affected by compassionate or compelling circumstances. Special Consideration Policy allows for reasonable adjustment to the standard assessment requirements and ensures equitable assessment for all students.
The Special Consideration circumstances must be of at least three (3) consecutive days duration, within a study period, and prevent completion of an assessment task or final examination. For
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All final grades at SIBT are determined and moderated by a Macquarie University Moderator, nominated by the Head of Department/Dean, and are not the sole responsibility of the Unit Supervisor.
Standard Numerical Grade (SNG)
Your final result will include the grade plus a Standardised Numerical Grade (SNG). The SNG is not a summation of the individual assessment components.
The SNG will be based on a student’s work
during the semester and in the Final Examination. Final grades will be awarded on the basis of students’ overall performance and the extent to which they demonstrate fulfillment of the learning outcomes listed for this unit.
High Distinction (HD)
Provides consistent evidence of deep and critical
understanding in relation to the learning outcomes.
There is substantial originality and insight in
identifying, generating and communicating competing
arguments, perspectives or problem solving
approaches; critical evaluation of problems, their
solutions and their implications; creativity in
application as appropriate to the discipline.
Provides evidence of integration and evaluation of
critical ideas, principles and theories, distinctive
insight and ability in applying relevant skills and
concepts in relation to learning outcomes. There is
demonstration of frequent originality in defining and
analysing issues or problems and providing solutions;
and the use of means of communication appropriate
to the discipline and the audience.
Provides evidence of learning that goes beyond
replication of content knowledge or skills relevant to
the learning outcomes. There is demonstration of
substantial understanding of fundamental concepts in
the field of study and the ability to apply these
concepts in a variety of contexts; convincing
argumentation with appropriate coherent justification;
communication of ideas fluently and clearly in terms
of the conventions of the discipline.
Provides sufficient evidence of the achievement of
learning outcomes. There is demonstration of
understanding and application of fundamental
concepts of the field of study; routine argumentation
with acceptable justification; communication of
information and ideas adequately in terms of the
conventions of the discipline. The learning attainment
is considered satisfactory or adequate or competent
or capable in relation to the specified outcomes.
Does not provide evidence of attainment of learning
outcomes. There is missing or partial or superficial or
faulty understanding and application of the
fundamental concepts in the field of study; missing,
undeveloped, inappropriate or confusing
argumentation; incomplete, confusing or lacking
communication of ideas in ways that give little
attention to the conventions of the discipline.
Note that your raw coursework and exam scores cannot be used directly to calculate your standardized mark or to determine your final grade. The process of assigning grades and standardized marks involves moderating the performance indicated by your raw scores against the grade standards set by Macquarie University for the various grades.
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14. Academic Honesty
SIBT students are expected to read and comply with the SIBT Academic Honesty Policy and the SIBT Code of Conduct. These can both be found in the Policy Library on the SIBT website. This means that:
all academic work claimed as original is the work of the author making the claim •
all academic collaborations are acknowledged
academic work is not falsified in any way
when the ideas of others are used, these ideas are acknowledged appropriately •
students are expected to behave honestly during examinations Examples of dishonest academic behaviours are:
Plagiarism: Plagiarism means using the work or ideas of another person and presenting this as your own without clear acknowledgement of the source of the work or ideas. This includes, but is not limited to, any of the following acts:
a) copying out part(s) of any document or audio-visual material or computer code or website content without indicating their origins
b) using or extracting another person’s concepts, results, or conclusions without acknowledgement
c) summarising another person’s work without acknowledgement d) submitting substantially the same final version of any material as another student in an assignment
e) use of others (paid or otherwise) to conceive, research or write material submitted for assessment
f) submitting the same or substantially the same piece of work for two different tasks (selfplagiarism). Deception: includes, but is not limited to, false indication of group contribution, false indication of assignment
submission, collusion, submission of a work previously submitted, presenting collaborative work as one’s own without acknowledging others’ contributions, cheating in an examination or using others to write material for examination. Penalties apply for plagiarism and deception.
For more information refer to SIBT’s Academic Honesty Policy and the SIBT Code of Conduct on the Portal: http://www.sibt.nsw.edu.au/policies
15. Prescribed text and Recommended Readings
Students will need to purchase, from the Co-op Bookshop, a copy of:
Modern Statistics: An Introduction by Don McNeil and Jenny Middledorp. ISBN: 29781486007011
Suggested additional texts are recommended reading:
Introduction to the Practice of Statistics, Moore, D.S. and McCabe, G. P (W.H. Freeman)
Statistics without Tears by Rowntree (Penguin)
Mind on Statistics by Utts & Heckard (Thomson, 2004)
Elementary Statistics by Johnson & Kuby (Thomson, 2007)
Statistics: The Art & Science of Learning from Data by Agresti & Franklin (Prentice Hall, 2007)
The Statistical Sleuth by Ramsey and Schafer (Duxbury, 2002)
16. SIBT Policies and Procedures
For details on SIBT’s Policies and Procedures please refer to the SIBT