Students

STAT1250 – Business Statistics

2020 – Session 3, Special circumstance

Notice

As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group learning activities on campus for the second half-year, while keeping an online version available for those students unable to return or those who choose to continue their studies online.

To check the availability of face to face activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff
Petra Graham
Office: 12 Wally's Walk Room 5.38
See iLearn for zoom drop in consultation hours.
Thomas Fung
Credit points Credit points
10
Prerequisites Prerequisites
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description
Data is the foundation of sound business decisions. In this unit you will learn the fundamentals of analysing, solving and communicating business problems using quantitative information. The unit will cover the statistical concepts that provide a foundation for the study of and professional practice in business and economics. The focus will be on tools and approaches that are used every day in business. Problems and examples will be drawn from current real-world experience.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: organise and summarise data graphically and numerically
  • ULO2: use appropriate techniques to analyse data
  • ULO3: use Excel to manipulate and analyse data
  • ULO4: draw conclusions from the results of data analysis
  • ULO5: apply statistical techniques to problems arising from diverse fields of research including examples on sustainability
  • ULO6: demonstrate foundational learning skills including active engagement in your learning process

General Assessment Information

You need to have the latest version of Excel with the Data Analysis add-on enabled for the assessment tasks (see iLearn for information on how to access Excel for free from the university).

Hurdle Quizzes: If you fail any of the Hurdle Quizzes your highest possible mark for this unit will be 49 with a grade of Fail Hurdle (FH). You need to pass all five Hurdle Quizzes to be able to pass this unit. In Semester 3, any reference to "Weeks" should be interpreted as "Days". 

Class Tests and Final Exam: You require Excel with the Data Analysis add-on to enable completion of these assessments. You will not be able to answer questions for these assessment tasks without it.

See the schedule in iLearn for detailed of assessment dates and additional information. 

Assessment Tasks

Name Weighting Hurdle Due
Hurdle Quizzes 10% Yes See iLearn
Class Test 1 (online) 15% No See iLearn
Class Test 2 (online) 25% No See iLearn
Final Exam (online) 50% No Exam Period

Hurdle Quizzes

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: See iLearn
Weighting: 10%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

 

The Hurdle Quizzes are online quizzes that will be made available on iLearn at least two weeks prior to the due dates. Students are allowed 10 or more attempts to pass each quiz until the deadline. The required pass mark is indicated on each quiz. Inability to pass a quiz without help indicates that students should visit the Numeracy Centre for help. The highest score obtained will count towards the final grade. Each quiz is worth 2%. Extensions will not be given without an approved Special Consideration application. Completion and passing of all Hurdle Quizzes is a hurdle requirement. Students who fail to do so will fail the unit regardless of other assessment tasks marks.

 


On successful completion you will be able to:
  • use appropriate techniques to analyse data
  • use Excel to manipulate and analyse data
  • draw conclusions from the results of data analysis
  • apply statistical techniques to problems arising from diverse fields of research including examples on sustainability
  • demonstrate foundational learning skills including active engagement in your learning process

Class Test 1 (online)

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 3 hours
Due: See iLearn
Weighting: 15%

 

Class Test 1 will be online and available on iLearn. A supplementary class test will be given for students with an approved Special Consideration application.

 


On successful completion you will be able to:
  • organise and summarise data graphically and numerically
  • use appropriate techniques to analyse data
  • use Excel to manipulate and analyse data
  • draw conclusions from the results of data analysis

Class Test 2 (online)

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 3 hours
Due: See iLearn
Weighting: 25%

 

Class Test 2 will be online and available on iLearn. A supplementary class test will be given for students with an approved Special Consideration application.

 


On successful completion you will be able to:
  • organise and summarise data graphically and numerically
  • use appropriate techniques to analyse data
  • use Excel to manipulate and analyse data
  • draw conclusions from the results of data analysis

Final Exam (online)

Assessment Type 1: Examination
Indicative Time on Task 2: 21 hours
Due: Exam Period
Weighting: 50%

 

The Final Examination will be online with length of two hours (plus ten minutes reading time) and will be held during the examination period by using iLearn. The University Examination timetable will be available before the commencement of the examinations. Students are advised that it is Macquarie University policy not to set early examinations for individuals or groups of students. All students are expected to ensure that they are available until the end of the teaching semester, i.e. the final day of the official examination period.

 


On successful completion you will be able to:
  • organise and summarise data graphically and numerically
  • use appropriate techniques to analyse data
  • use Excel to manipulate and analyse data
  • draw conclusions from the results of data analysis
  • apply statistical techniques to problems arising from diverse fields of research including examples on sustainability

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

Semester 3 is a compressed time unit, meaning that all of the material given in a regular semester is presented in 5 weeks. This means that each week (except for the final week) there are three days of classes with each day comprising a lecture, practical and an SGTA. There are assessments due approximately every other day. As such there is a large weekly commitment required to enable successful completion of this offering. The class schedule can be seen on iLearn. 

You are expected to complete your learning by studying the Lecture slides and watching Lecture videos, by solving the problems presented in SGTA materials (solutions are presented in SGTA videos) and by solving the problems presented in Practical materials (solutions are presented in Practical videos). You should plan up to 30 hours of study time each week in Semester 3.

Lecture notes, SGTA worksheets and Practical worksheets will be available to download within iLearn. Lecture, SGTA and Practical videos will provide answers to unsolved problems in the Lecture slides, SGTA and Practical worksheets.

Technology Used and Required: All course material is delivered through iLearn. The link may be found at http://ilearn.mq.edu.au

Unit Schedule

Unit Schedule:

See iLearn for details of assessment delivery and timings. 

Day

Lecture Topic

Assessments

1

Introduction to statistics

 

2

Summarising and displaying data

Hurdle Quiz 1

3

Summarising and displaying data (continued)

 

4

Introduction to distributions: the normal distribution

Hurdle Quiz 2

5

Sampling distributions and confidence intervals for proportions

 

6

Sampling distributions and confidence intervals for means

Hurdle Quiz 3

7

One sample hypothesis tests for a population mean

Class Test 1

8

Hypothesis tests for comparing population means

 

9

Simple linear regression (Part 1)

 

10

Simple linear regression (Part 2)

 

11

Hypothesis tests for population proportions: z-test of a proportion and chi-squared goodness-of fit test

Hurdle Quiz 4

12

Chi-squared test of independence

Class Test 2

13

Revision

Hurdle Quiz 5

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct​

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.