Quantitative Methods 2
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NotesView all ECON20003 notes
Written by Christina
This provides a perfect summary of the whole course and they assisted in achieving a high H1. They a...
47 pages, 6189 words
Written by Viv
✔ Ultimate H1 Summary Notes✔ (The sample is just thumbnails for preview, the actual note is in f...
31 pages, 5205 words
Written by Emily
This notes will save you a lot of time, it summaries most important topic and concepts from lectures...
21 pages, 2293 words
Written by Xin
Includes detailed explanations that deliver all essence from lectures and textbook readings througho...
68 pages, 12846 words
Written by Alvin
This note is a very concise and divided into topics. Digital and printer friendly. Screenshots ar...
35 pages, 6615 words
Written by Benjamin Lee
Concise and good H1 notes!
14 pages, 1445 words
Written by Aimee
Includes very detailed notes of every single lecture including in-note screen shots of all the relev...
76 pages, 18199 words
Written by Chen
These notes for ECON20003 are divided into 3 parts, testing populations, regression and logit and ti...
90 pages, 10878 words
Written by Ricky
Detailed PDF of when to use each method and which formula's go with the method. Extremely useful...
6 pages, 595 words
Written by Sam
Extremely detailed QM notes from Semester 1, 2015 (often referred to as one of the much more difficu...
76 pages, 12379 words
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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.