A
ActEder
Member
Does anyone have any tips to maximise your time in the exam as it is quite time pressured?
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ntickner
Very Active Member
I presume you're mainly referring to Paper 1, as you should have enough time in Paper 2.
1. Plan your time before the exam: reading time, planning time, modelling time, writing time, spare time.
2. Plan your model during the reading time. Knowing what you're going to build before you start will help avoid reworking anything, which is a sure way to run out of time.
3. Try get to everything, even if it's not at a great quality. Do some data checks, move on, do the model, move on, do the audit trail, and then go back and improve things. Like adding formatting, and more data checks, and better labels in the model, and more detail in the audit trail.
Oh, and the obvious one:
0. Learn to type faster. A speed of 40wpm is easy to achieve with 2-3 weeks focus, and will significantly improve your output.
1. Plan your time before the exam: reading time, planning time, modelling time, writing time, spare time.
2. Plan your model during the reading time. Knowing what you're going to build before you start will help avoid reworking anything, which is a sure way to run out of time.
3. Try get to everything, even if it's not at a great quality. Do some data checks, move on, do the model, move on, do the audit trail, and then go back and improve things. Like adding formatting, and more data checks, and better labels in the model, and more detail in the audit trail.
Oh, and the obvious one:
0. Learn to type faster. A speed of 40wpm is easy to achieve with 2-3 weeks focus, and will significantly improve your output.
A
ActEder
Member
Thanks very helpful.
Do you recommend making a start on the audit trail straight away and then add to it or do it at once?
If your model results aren't looking reasonable but you still need to do some calculations, should one continue on with them even if they produce incorrect values? For example doing a graph based on wrong data will not give a correct "shape" so your commentary on the graph may not be right as a result.
I assume there are attempt marks? For example having part of a formula correct etc
Do you recommend making a start on the audit trail straight away and then add to it or do it at once?
If your model results aren't looking reasonable but you still need to do some calculations, should one continue on with them even if they produce incorrect values? For example doing a graph based on wrong data will not give a correct "shape" so your commentary on the graph may not be right as a result.
I assume there are attempt marks? For example having part of a formula correct etc