Exam statistics
How to analyze quiz and exam results
3 min read Author: LernCampus24 Editorial Team Published: January 13, 2025
Exam statistics
Analyze the results of your quizzes and exams to measure learning effectiveness and identify improvement opportunities.
Open statistics
- Go to Admin > Analytics
- Select “Exams” or “Exam statistics”
Overview of all exams
Displayed metrics
For each exam, you see:
| Metric | Description |
|---|---|
| Exam name | Title of the exam |
| Attempts | Total number of all attempts |
| Participants | Number of distinct users |
| Pass rate | Percentage of passed attempts |
| Average score | Mean score achieved |
Understand the pass rate
Calculation
Pass rate = (Passed attempts / All attempts) × 100
Interpretation
| Rate | Assessment | Possible action |
|---|---|---|
| 90%+ | Very good | Consider making the exam more challenging |
| 70-90% | Good | Exam is appropriate |
| 50-70% | Medium | Review learning content or questions |
| < 50% | Low | Exam too difficult or content unclear |
Score distribution
Histogram
A histogram shows how scores are distributed:
0-20% ██ 5%
21-40% ████ 10%
41-60% ████████ 20%
61-80% ████████████ 35%
81-100% ████████████ 30%
What you can learn from it
| Pattern | Meaning |
|---|---|
| Bell curve | Normal distribution, exam well calibrated |
| Left-skewed | Exam too difficult |
| Right-skewed | Exam too easy |
| Two peaks | Two groups (prepared vs. unprepared) |
Analyze an individual exam
Detail view
- Click an exam
- View detailed statistics
Question analysis
For each question, you see:
| Metric | Description |
|---|---|
| Answered correctly | Percentage of correct answers |
| Most common answer | The option selected most often |
| Difficulty | Based on error rate |
Identify problematic questions
| Situation | Problem | Action |
|---|---|---|
| < 30% correct | Question too difficult or unclear | Revise question |
| > 95% correct | Question too easy | Make question more challenging |
| Many choose wrong answer | Distractor too attractive | Review answer option |
Trends over time
Attempts over time
A chart shows:
- Number of attempts per day/week
- Pass rate over time
- Trend development
Interpretation
| Trend | Meaning |
|---|---|
| Rate rises | Users learn from mistakes |
| Rate falls | Possibly new, unprepared users |
| Many attempts at once | Possible deadline effect |
User results
Who participated?
A list shows:
- Username
- Number of attempts
- Best score
- Status (passed/not passed)
Check one user
- Click a user
- View all attempts with date and score
Compare several exams
Compare exams
- Select several exams
- View the metrics side by side
Useful comparisons
- Similar courses: Compare difficulty
- Before and after revision: Did the rate improve?
- Different groups: Do departments learn differently well?
Derive actions
If pass rate is low
- Review learning content: Is everything explained clearly?
- Analyze questions: Which questions are problematic?
- Check time limit: Is there enough time to think?
If pass rate is too high
- Make questions more challenging
- Add more questions
- Use application questions instead of knowledge questions