So I have been fortunate to have a great peer study group throught school and college studies, but now 6 years into career, I am at a place that I am studying alone for my GRE haha, so I thought I will just use this forum to talk and seek support since I am doing the gregmat plan.
My target school has 85% Q percentile (170Q) and 15% V percentile. So my main focus is naturally on locking in quant only. My baseline was free GRE test with 168Q score, my degree was in mathematics so I do have strong fundamentals, but I am still going through the Prepswift quant and doing all the problems. So far I have completed the Arithmetic, Algebra and Coordinate Geometry from PrepSwift including all related video problems, tickbox quizzes and fundamental quizzes. So today I decided to solve all 50 questions in GRE Official guide chapter 7, the easy, medium, hard question sections. I took it timed and took about an hour fifteen minutes for the complete chapter, and ended with 3 wrong -
- 3rd Question wrong in Set 2 (Medium) - I didnt know figures are not to scale and considered quadrilateral to scale in circle. So this is something is I can correct by knowing the GRE conventions better.
- 14th Question wrong in Set 3 (Hard) - I misread the question and assumed both n and n2 have 24 and 108 as factors. After reading the question correctly I got it correctly, so this is fine.
- 15th Question wrong in Set 5 (Hard) - Now this pengiun height range question has really thrown me off my center. I couldn’t come up with an approach to this problem at all. Then I read the solution and understood, but I am getting anxious because statistical data related work is something I am totally cutoff from since high school, as my maths degree was mostly lot of abstract maths.
So I am just anxioous that question like this will take me down from my target of Q170. I plan to start with Data Analysis prepswift part from Monday, but is question like this something that will be manageble after Data Analysis Prepswift part or I need to plan and work more on Data Analysis portion on Quant.
Thank you guys, I apologise if I seem to be rambling.
