Assessment criteria for all assessment tasks will be provided on the unit iLearn site.

It is the responsibility of students to view their marks for each within-session-assessment on iLearn within 20 days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment tasks (not including the final exam mark) will not be addressed.

Late submissions of assessments

Sometimes unavoidable circumstances occur that might prevent you from submitting an assessment on time and, in that case, you may be eligible to lodge a Special Consideration request.

Unless a Special Consideration request has been submitted and approved, please note that no extensions to assessment deadlines will be granted. Assessments that are submitted late will attract a late penalty:

1. There will be a deduction of 10% of the total available marks for each 24 hour period or part thereof that the submission is late.
2. No assessment will be accepted more than 72 hours after the original due date and time (incl. weekends).
3. No late submissions will be accepted for timed assessments (e.g., quizzes, online tests) or for tasks with a weighting of 10% or less.

 

Prescribed Textbook

Croucher, John. S. (2018). Quantitative Analysis for Management, 6th edition. McGraw-Hill Education. ISBN: 9781760425029

You should bring this textbook to all lectures as it is also a workbook.

Please note: Students should only attain the 6th edition of this textbook, which is the only edition this class will be taught from. Furthermore, this course relies heavily on the learning material provided in the textbook (which also acts as an exercise book for in-class demonstration and activities). It is highly advised that students attain the required textbook as soon as possible and familiarise themselves with the textbook material, especially before the start of each class session and for sessions with specific allocated chapters (which is made available in the unit schedule below as well as the class iLearn page).

Where to purchase the textbook?

McGraw Hill Education Australia – Online store: This textbook is also available for order via the publisher’s online store. For information on textbook prices and online ordering, please refer to the McGraw Hill Education Australia online store at https://www.mheducation.com.au/quantitative-analysis-for-management-6e-9781760425029-aus

Disclaimer: MQBS does not take responsibility for the stock levels of required textbooks from preferred retail outlets and other book retailers. To prevent disappointment if a textbook is out-of-stock, we highly advise students to order their textbooks as early as possible, or if the required textbook is currently out-of-stock, place an order with the book retailer as soon as possible so that these book retailers can monitor demand and supply, and adjust their stock orders accordingly.

Additional recommended texts

The texts listed below are optional only. It is not compulsory to attain a copy.

• Croucher, John S. (2016). Introductory mathematics and statistics for business (6th edition- revised). McGraw-Hill.

• Render, B., Stair, R., Hanna, M.E. and Hale, T.S. (2015). Quantitative analysis for management (12th edition). Pearson.

• Bowerman, B.L., O’Connell, R. and Murphree, E. (2013). Business statistics in practice (7th edition). McGraw-Hill

Calculator

A basic calculator with specific keys shown below is required in this unit since it will be used in all class tests and final exam. You may find it useful, but it is not necessary, to have a statistical calculator that has in-built statistical functions. There are several types of these:

• The lowest level statistical calculator has function keys such as the mean and standard

deviation but no other statistical function keys.

• The next level above also has function keys for correlation and linear regression. An

example is one of the Casio fx series such as the 82 or 100 series, but there are many others.

In any case, your calculator should include the following keys:

x! (also known as x factorial)

ex or ex or exp(x) (also known as e to the power x)

ln(x) also known as the “natural logarithm of x” or as the “logarithm to base e”

nCr also known as “n choose r”

You need to bring your calculator to every session class session. You should also bring your laptop computer, equipped with excel.

Access to Technology

Access to a personal computer and internet connection is required to access learning material/ resources online on Macquarie University's online learning management system called iLearn.

Students will also be required to gain access to statistical software called Minitab 16. While the text refers to Minitab 16, version 17 & 18 may be used.

iLearn - Your class online learning resources page

The class iLearn page for this unit is located at: https://ilearn.mq.edu.au/. You must be enrolled in this class to see the class iLearn page.

Lecture slides

The lecture slides provided for this class will be minimal. The lectures will mostly be based on the textbook.

Allocated supplementary readings

Students are required to attain the required text listed above and bring to every class session. There may be some supplementary readings (journal articles, case studies etc) set for this class. If so it will be announced on iLearn ahead of the class session in which it may be covered.

Almost all learning material will be based on the required textbook which acts as an exercise workbook, which students are to bring to class in every session along with a calculator or a laptop equipped with excel.

Week	Week beginning	Topics and Chapters
1	26 July	Introduction to statistics - ch 1.1 Sampling procedures - ch 1.2 - 1.3 Summarising data - ch 1.4 - 1.7 Measures of centre - ch 1.8 - 1.14 Other statistical measures - ch 1.13 - 1.14, 1.16, 1.18 - 1.19 Data analytics - ch 1.20
2	2 August	Measures of variation - ch 2.1 - 2.3, 2.5 - 2.7 Using Microsoft Excel - ch 2.9 Normal distribution - ch 2.13 Areas under the normal curve - ch 2.14 - 2.18 Applications - ch 2.19
3	9 August	Estimation - ch 3.1 - 3.3 Confidence intervals - ch 3.4 - 3.10 Random variables - ch 3.13 - 3.16 Factorials, permutations and combinations - ch 3.17 - 3.19 Lotto type games - ch 3.20
4	16 August	Correlation - ch 4.1 - 4.8 Time series models - ch 4.9 - 4.11 Regression models - ch 4.12 - 4.19 Exponential smoothing models - ch 4.23 - 4.28 Seasonal data - ch 4.29 - 4.30 Lag effects - ch 4.31 - 4.33
5	23 August	Categorical data - ch 5.1 - 5.3 Single variable data - ch 5.4 - 5.7 Contingency tables - ch 5.8 - 5.10
6	30 August	Introduction to hypothesis testing - ch 6.1 - 6.5 Power of a test - ch 6.6 One-sample tests - ch 6.7 - 6.12
7	6 September	Hypothesis testing & two sample tests - ch 7.1 - 7.5 Sign Test - ch 7.6-7.7 Independent data & two sample tests - ch 7.8-7.15
	Session Break
8	27 September	Analysis of variance (one-way) - ch 8.1 - 8.3, 8.5 Multiple comparisons - ch 8.8 - 8.9 Analysis of variance (two-way) - ch 8.10 Visual displays - ch 8.13 - 8.19
9	4 October	Odds and probability - ch 9.1 - 9.3 Odds ratios - ch 9.4 Binary logistic regression - Single covariate - ch 9.5 - 9.7 Testing of parameters - ch 9.10 - 9.12 Binary logistic regression - Multiple covariate - ch 9.13
10	11 October	Statistical distributions and probabilities ch 10
11	18 October	Correlation and forecasting ch 14
12	25 October	Gambling business – ch 15
13	1 November	Revision / case studies / sample exam