Quantitative Methods 2
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NotesView all ECON20003 notes
Includes very detailed notes of every single lecture including in-note screen shots of all the relev...
76 pages, 18199 words
The revision notes have been made in accordance with lectures, and refined after tutorials. Cruciall...
19 pages, 2855 words
✔ Ultimate H1 Summary Notes✔ (The sample is just thumbnails for preview, the actual note is in f...
31 pages, 5205 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
These notes include all the tests learned throughout the subject. Detailed explanations are included...
24 pages, 4472 words
Includes detailed explanations that deliver all essence from lectures and textbook readings througho...
68 pages, 12846 words
This notes will save you a lot of time, it summaries most important topic and concepts from lectures...
21 pages, 2293 words
This provides a perfect summary of the whole course and they assisted in achieving a high H1. They a...
47 pages, 6189 words
These notes for ECON20003 are divided into 3 parts, testing populations, regression and logit and ti...
90 pages, 10878 words
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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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
Lecturer talks like he's talking to himself. Does not seem to know what he's talking about at times. I found it more beneficial to refer to the textbook as compared to going to his lectures.