Exam P (Probability) is a non-proof based, multiple choice exam on Probability Theory. The questions are entirely application-based, and the final answer is always a numerical answer (although that does not make the exam in any way easier!). The best (and only way as far as I know) to pass Exam P is to solve as many sample questions as possible. This is because certain techniques/patterns on how to approach specific problems are frequently repeated on Exam P, and the faster you are able to recognize those “tricks”, the higher your likelihood of passing the exam. Usually to pass, you’ll need to score ~ 70 – 80% on the exam. Below are the most helpful resources I know of for Exam P.
Exam P SOA Webpage (Syllabus included on webpage, which list out the topics the exam covers)
Lecture Series (for concepts):
- STAT110 Harvard (Joe Blizerstein)
- STAT410 UMD (Jonathan Fernandes)
Example Problems: (This is virtually all you need to pass Exam P).
Helpful Handouts:
Classes at UMD that prepare you for Exam P: Stat400 or Stat410.
___________________________________________________________
Exam FM (Financial Mathematics) is a multiple choice exam on Financial Mathematics. The questions, like Exam P, are entirely application-based, and the final answer is always a numerical answer (once again, that does not make the exam any easier!). And once again, the more problems you do, the better your chance of passing the exam. Usually to pass, you’ll need to score ~ 70 – 80% on the exam. Below are the most helpful resources I know of for Exam FM.
Exam FM SOA Webpage (Syllabus included on webpage, which list out the topics the exam covers)
Lecture Series (for concepts):
Example Problems:
Helpful Handouts:
Classes at UMD that prepare you for Exam FM: STAT470.