Exam SRM  

Statistics for Risk Modeling
  • Average
    Pass Rate
  • Sponsoring SocietySOA
  • Dates ActiveSep 2018 - Present
  • Sittings to Date7
  • Attempts per Sitting443
  • Total Passes/Attempts2,134 / 3,098
  • Highest Pass Rate77.0% Sep-20
  • Lowest Pass Rate57.8% May-19
  • Effective Pass Rate70.8%
  • Std Dev of Pass Rate7.6%
 
#SITTING_IDEXAM_IDDATE_PASSEDNUM_WROTEEFF_NUM_WROTENUM_PASSEDPASS_RATEEFF_PASS_RATEPASS_MARKDATE_ADDEDCUMULATIVE_AVERAGEDISPLAY_DATE
71397799/1/2020 12:00:00 AM81479962777.078.563.012/3/2020 12:00:00 AM68.9Sep-2020
61354795/1/2020 12:00:00 AM27827520573.774.563.08/20/2020 12:00:00 AM66.0May-2020
51331791/1/2020 12:00:00 AM58756837263.465.567.04/5/2020 12:00:00 AM64.9Jan-2020
41271799/1/2019 12:00:00 AM55454141174.276.060.011/26/2019 12:00:00 AM65.5Sep-2019
31258795/1/2019 12:00:00 AM41039123757.860.667.07/26/2019 12:00:00 AM60.0May-2019
21207791/1/2019 12:00:00 AM27426416660.662.967.03/26/2019 12:00:00 AM62.0Jan-2019
11156799/1/2018 12:00:00 AM18117411664.166.770.011/11/2018 12:00:00 AM64.1Sep-2018


Distribution of Travel Times to Designations

METRICASAFSA
Number of People281
5th percentile0.531.92
25th percentile0.891.92
Median1.211.92
Average1.271.92
75th percentile1.501.92
95th percentile2.171.92

ASA
 

FSA
 

Exam to Exam Analysis

This table shows what other exams people have passed given that they passed exam SRM.

Sitting date: 



EXAM # PPL YEARS # PPL YEARS # PPL YEARS # PPL YEARS % PPL


Note on the travel time information above:
The histograms and the above two charts (near) exclude duplicate names and include changed names. Excluding duplicate names is necessary since travel time information related to them is unreliable and nonsensical- for instance, passing exam P three years before receiving a designation.

Including changed names has an impact on the relative number of people who passed other exams vs. the given exam. Their inclusion will lower this ratio since changed names will not properly link between previous/future exam passes. However, including changed names will not affect the average travel times, since travel times of changed names are not necessarily different than those of unchanged names.

For exam SRM on all sittings, there were 285 duplicate names, 240 changed names, and 66 duplicate and changed names.