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Public aggregate data

Series 79 Exam Difficulty Report: What Practice Data Shows

This report measures aggregate practice performance against a checked-in bank of 1,000 Series 79 questions. It distinguishes answer records from distinct users and withholds rankings that do not meet both thresholds. Practice data through 2026-08-25; report generated 2026-10-02T09:34:10.886Z.

Answer records analyzed
1,481

Individual answers, not people or exam attempts.

Distinct users
7

Counted only to describe sample breadth.

Overall miss rate
24%

Wrong answers divided by analyzed answer records.

Questions with data
727

0 meet the public ranking threshold.

Hardest qualifying Series 79 sections

Each section needs 30+ answer records from at least 5 distinct users.

SectionMiss rateAnswer recordsDistinct usersQuestions
M&A, Tender Offers & Restructuring27.8%3456182
Collection, Analysis & Evaluation of Data26.9%6967303
Underwriting & New Financing16.5%4185224

Hardest qualifying topics

Only topic aggregates meeting both answer-record and distinct-user minimums appear.

Authored difficulty versus observed performance

Authored easy
22.9%
436 answer records · 6 distinct users
Authored medium
24.6%
775 answer records · 7 distinct users
Authored hard
24.1%
270 answer records · 7 distinct users

Methodology and limitations

Computed from aggregate Lucky the Banker practice-answer records joined to the checked-in Series 79 question bank. Answer records and distinct users are reported separately. Rankings require at least 10 answer records and 5 distinct users per question, or 30 answer records and the same user minimum per topic or section. Rows without a user ID, rows not matching the current question bank, and configured internal or QA accounts are excluded. No names, emails, user IDs, session histories, or per-user results are published. Small samples are withheld, not extrapolated.

This is LTB practice-platform data, not a representative sample of every candidate and not an official pass-rate study. A miss rate describes this dataset only; it does not predict an individual candidate’s exam outcome.