### Textbooks

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#### Business Statistics : Australia New Zealand

Selvanathan, Antony

For sale by Emilie for \$50

#### Business Statistics : Australia New Zealand

Selvanathan, Antony

For sale by Steven for \$50

### Notes

View all ECON20003 notes

#### Complete H1(95%) Notes for ECON20003 Quantative Methods 2

Includes detailed explanations that deliver all essence from lectures and textbook readings througho...

68 pages, 12846 words

#### Cheat sheet!! Visual flow chart of all the tests and when to use them (including relevant assumptions)

Visual flow charts that outline what test/ formulas to use and when. Also includes background inform...

12 pages, 1246 words

#### QM2 SUMMARISED notes for final exam

This notes will save you a lot of time, it summaries most important topic and concepts from lectures...

21 pages, 2293 words

#### H1 QM2 Revision Notes (All the Tests)

These notes include all the tests learned throughout the subject. Detailed explanations are included...

24 pages, 4472 words

#### ✔ Ultimate H1 Summary Notes ✔ ECON20003: Quantitative Methods 2

✔ Ultimate H1 Summary Notes✔  (The sample is just thumbnails for preview, the actual note is in f...

31 pages, 5205 words

#### H1QM2 NOTES(93/100)

Includes very detailed notes of every single lecture including in-note screen shots of all the relev...

76 pages, 18199 words

#### H1 QM2 Full Lecture Summaries

This provides a perfect summary of the whole course and they assisted in achieving a high H1. They a...

47 pages, 6189 words

#### QM2 Notes

These notes for ECON20003 are divided into 3 parts, testing populations, regression and logit and ti...

90 pages, 10878 words

#### Quantitative Methods 2 Course Summary

I used these notes to get myself a H1. If you want a H1 for yourself, give these notes a shot!

34 pages, 4928 words

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### Reviews

Loved the subject, it was fun and quite easy once you understand the lecture content. Lecture slides were self-explanatory and enough, skipped some lectures since I have adhd.

Anonymous, Semester 1, 2023

0/5, lecturer is boring, not concise, have to teach myself everything.

Anonymous, Semester 1, 2023

hard throughout sem, but final exam was fine (similar to prac exam, and less technical). hated the assignments (very long, tricky & frequent, but only worth 5%). same goes with those weekly quizzes, they used so much time my goodness need to be familiar with r-studio (absolute pain), but barely relevant in final exam only did it cos it was compulsory..but it was ok if you underload and do bludey subjects at the same time. this way i could focus on it and score a high H1

Anonymous, Semester 2, 2021

Really not a difficult subject to succeed in if you stay up to date on lectures (Coming from a mathematically challenged comm student). The tutorials might seem overwhelming, but if you get through them, R plays a very minor role in the exam. Lazlo is also a decent lecturer.

Anonymous, Semester 2, 2020

Content is quite interesting although using EViews seems quite useless as it is not used in professional environments.

Anonymous, Semester 2, 2018

Content is somewhat useful and interesting but the new lecturer is terrible at teaching. EViews is also a terrible choice of software and not relevant so I don’t know why we’re still using it for this subject. Tutorials are a waste of time but mandatory for participation marks.

Anonymous, Semester 1, 2019

This is a good subject to teach you about further advanced statistics. However, I have my doubts as to whether or not the approach is the best. E.g EViews is not as widely accepted as excel

Anonymous, Semester 1, 2018

May be hard to understand at first (since I forgot some of QM1 lecture topics) but a deep understanding for each concept from lectures and consistent practice is also required. Get yourself familiar with EViews and understand the program. To score well in final exam, do past papers given by the lecturer since the questions are similar to previous papers.

Anonymous, Semester 1, 2018

Topics include: review of statistics; tests of the location of populations; simple and multiple regression for use with time series and cross section data, including interpretation of estimates, hypothesis testing and forecasting, an introduction to diagnostics; Logit models; an introduction to time series methods; and seasonality.

Anonymous, Semester 2, 2016

This subject is a bit better than QM1!!! Not as tough as QM1

Anonymous, Semester 2, 2012