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I just started studying for June 2021 Exam PA this weekend. I have not gotten very far in the ASM manual yet but I was wondering about the data exploration portions. The manual uses R to do the data exploration but I was wondering if we could use Excel itself? You can do a lot of exploration just using a pivot table. Are we required, or highly encouraged, to only use R or is it a matter of just finishing the tasks by any means necessary?
Pivot tables are disabled on Prometric computers.
A lot of people get stumped on the ggplot formatting when first starting out. Fortunately, the SOA gives you template code to create all of the graphs that are needed. You can use Excel for inspecting the data, but just not with a pivot table. In R, just use write.csv(data, “data.csv”) to create a copy and then open it in Excel.
You can find save yourself time by only learning the R necessary for this exam. In Chapter 5 of our Spring 2021 Study Guide, there is an explanation.
Best regards,
Sam Castillo
Course Instructor at ExamPA.net
Thanks Sam. Does anyone know if you will be allowed Pencil/Pen, paper, and calculator? In the instructions it sounds like any of the authorized calculators can be used but was not sure if that’s just a generic statement and does not apply to Exam PA. I did not see anything about getting scratch paper. I could just use word or excel to keep notes but I like to scribble as I go along and wondering if I should break this habit now.
Good question, Porkins.
In all previous sittings, the Prometric staff have provided candidates with a printed project statement and so you can plan to use a pencil to underline sections or take notes. There’s no algebra required so scratch paper is not needed. Excel can be used as a calculator. You can gain an advantage by building up your typing speed to 70 words per minute so that you’ll be able to write 20+ pages in your report. Many people run out time before being able to write everything that they plan to.
Best,
Sam Castillo
Course Instructor at ExamPA.net
Just to confirm, for the report section, for all non-Executive Summary tasks it is written with more technical language where you describe your thought process, but with the Executive Summary task you use non-technical language and try to explain what you did to the client?
Also in terms of length, I’ve seen that the Executive Summary is expected to be 2 pages long. For the other tasks is there any recommended length or a minimum word count to hit so the response is not too short?
Thanks!
Hi Michael,
It’s great to be thinking of this now so that you will be efficient in preparing. Many people do not practice writing until the last months before the exam.
The past two exam sittings have had questions in the Specific Tasks that ask you to use non-technical language. For example, in June of 2020, there was a question that asked you to summarise a data manipulation processing for your manager. In the December 2019 exam, there was a question asking you to sell your model to a sales team. The Executive Summary will always be non-technical.
There is no penalty for writing too much, but you can lose points for not writing enough. This grading format favors longer reports. 2-2.5 pages single spaced, or 1,200 – 2,000 words is ideal.
After you do enough practice exams, you will be able to write more than you thought was originally possible. We have 9 practice exams in our online course. There are over 2 hours of tutorials about writing. The length and number of words is not a good indicator of success because quality matters as much as quality. Our spelling and grammar lessons give you confidence to craft perfect responses to every question. Enroll today!
Best regards,
Sam Castillo
Course Instructor
Hi, I am trying to update our actuarial department’s exam program which has not been updated for years. I am trying to estimate the study time needed for exam PA, but I’ve not taken exam PA myself so I have no idea what to expect. What is the average study time a typical student would need for this exam? Thank you.
You are not required to use R for data exploration, but it is encouraged. You can use Excel to do a lot of data exploration, but R is a more powerful tool.
While it’s not obligatory to utilize R for data exploration, it is highly recommended. While Excel can serve as a valuable tool for data exploration, R offers a higher level of capability and versatility in this regard.
Using R for data exploration is not required, but strongly recommended because it offers greater capability and versatility compared to Excel.
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