Business Statistics : Australia New Zealand

Selvanathan, Antony

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Business statistics

Eliyathamby A Selvanathan, Saroja Selvanathan, Gerald Keller

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Business Statistics : Australia New Zealand

Selvanathan, Antony

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Business Statistics

Eliyathamby A Selvanathan, Saroja Selvanathan, Gerald Keller

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Business Statistics

E. Antony Selvanathan, Saroja Selvanathan, Gerald Keller

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Business Statistics : Australia New Zealand

Selvanathan, Antony

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Business Statistics

E. Antony Selvanathan, Saroja Selvanathan, Gerald Keller

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Business Statistics : Australia New Zealand

Selvanathan, Antony

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H1 (88) EXAM READY QUANTITATIVE METHODS 1 NOTES

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Full comprehensive notes, covering all lectures and tutorials, which will prepare you for the final...

31 pages, 10770 words

ECON10005 Quantitative Methods I Full Summary

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Complete summary of all lectures including formulas.

17 pages, 4600 words

✔ Ultimate H1 Summary Note (90%) ✔ ECON10005: Quantitative Methods 1

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105 pages, 130000 words

Quantitative Methods 1 Exam Notes

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The exam notes is divided into three parts: Part 1: Describing and Depicting Data Part 2: Probabil...

12 pages, 1721 words

2017 QM1 Notes H1 (New Study Design)

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Notes that i have summarise from lectures and tutorials.

22 pages, 5362 words

ULTIMATE QM1 Notes + Revision Summaries by H1 STUDENT (Quantitative Methods 1 2017)

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These notes serve as an exam revision summary of the QM1 course, but can also be read each week to...

10 pages, 2389 words

Quantitative Methods ECON10005 Notes

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Typed notes including relevant diagrams and formulas covering the first half of the course - the fun...

29 pages, 3686 words

✔ H1 QM1 SUMMARY NOTES✔ (of 2017 new study design)

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✔ H1 QM1 SUMMARY NOTES✔ (Note: The sample is just thumbnails for preview, the actual note is in fu...

21 pages, 6000 words

Complete H1 Notes for Unimelb ECON10005 Quantitative Methods 1

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Includes detailed diagrams and explanations that deliver all essence from lectures and textbook read...

32 pages, 4800 words

ECON10005 Quantitative Methods 1 Complete Revision Notes

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These notes contain all essential information that you need to know and understand for the course. T...

68 pages, 9454 words

Tiffany

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Reviews

This subject covers the core concepts which underpin quantitative decision analysis in the various specialisations within the faculty. It provides a foundation for all second-year quantitative subjects in the commerce degree. The topics covered are drawn from financial mathematics; measures of location and dispersion; probability, random variables and expected values; sampling design; estimation and testing using the normal and t-distribution; and simple regression and correlation. Excel is used to illustrate applications in accounting, economics, finance, management and marketing.

Anonymous, Semester 1, 2018

Very dry content that's hard to absorb, having Wasana as a lecturer didn't help. Couldn't understand a thing from lecture though the content itself isn't that hard. You basically have to teach yourself. the scale down should be illegal.

Anonymous, Semester 1, 2018

David F***ng Harris my boy. Listening to you cured my insomnia. Then the coordinators had the nerve do scale the results down, leave the results as they are for god's sake.

Anonymous, Semester 1, 2018

One of the most boring subjects I have ever done. I can never pay attention in lectures because the content is so dry and lectures are unengaging. The content itself isn’t very hard and there are a lot of resources provided, such as textbook extracts, learning modules, pre quiz and quizzes.

Anonymous, Semester 2, 2018

This was a very enjoyable statistics subject. As long as you stay on top of the workload and the weekly schedule of work and tutes there is nothing holding you back from doing very well.

Anonymous, Semester 1, 2018

Quite okay subject if you have a strong mathematics and statistics background. Just make sure you understand lectures (Liana's lectures are written with relevant examples or applications to each topics) and do each tutorial questions to complete weekly quizzes. To obtain high marks on exam, you need to do past papers and have a firm understanding for each concepts covered in tutorial questions and manage your time wisely. Liana is an awesome lecturer and clearly explains and demonstrates clear and relevant examples.

Anonymous, Semester 2, 2017

not easy

Anonymous, Semester 1, 2018

This subject requires constant revision during the semester. It comes naturally as you practice it often.

Anonymous, Semester 1, 2017

This subject is not difficult as long as you can grasp the important concepts, especially for “confidence interval” and “hypothesis testing”. The lecturer (Liana) is great as she explains everything in detail. Overall, this subject is very well-structured, and I’d recommend it as you will likely use some of the skills learned in this subject at some point in the future (in my opinion).

Anonymous, Semester 2, 2017

This subject is one a lot of people find difficult but the teaching is absolutely superb. Would recommend to anyone who likes to learn.

Anonymous, Semester 2, 2017