How do Java’s LCG (java.util.Random) and Python’s Mersenne Twister (random module) compare in statistical randomness and predictability, using NIST SP 800-22 and state-recovery attacks?SL
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B
Official IB Result
IB Grade: B
Criteria A: Focus and Method
5/6
0
3
6
Criteria Strands
A.1Topic Communication
Excellent
A.2Research Question
Excellent
A.3Methodology
Moderate
Criteria Feedback
- You communicate a clear and focused research question that directly compares the two generators and the two kinds of evidence you use.
- Your topic and purpose are easy to follow, and the investigation stays centred on the contrast between statistical behaviour and predictability.
- You chose a sensible overall approach by combining statistical testing with state-recovery analysis, which fits the question well.
- Some parts of the methodology are not fully consistent across the report and appendices, which weakens reproducibility.
- The rationale for selecting the specific statistical tests is a little brief and would benefit from clearer justification.
- A few implementation details are not explained clearly enough for the reader to verify exactly how the data were generated and analysed.
Criteria B: Knowledge and Understanding
4/6
0
3
6
Criteria Strands
B.1Subject Knowledge
Moderate
B.2Use of Terminology
Good
Criteria Feedback
- You use the main terminology of the topic accurately in many places, including recurrence, state recovery, tempering, p-value, and significance level.
- You show solid understanding of the differences between statistical randomness and cryptographic security.
- Your explanation of the generators gives the reader a useful theoretical base for the comparison.
- Some definitions and explanations are a little imprecise, especially when describing p-values and what they do or do not show.
- A few technical statements are slightly overstated or awkwardly phrased, which weakens clarity.
- In places, the interpretation of statistical evidence is more confident than the evidence itself allows.
Criteria C: Critical Thinking
9/12
0
6
12
Criteria Strands
C.1Research Application
Moderate
C.2Analysis
Poor
C.3Discussion and Evaluation
Moderate
Criteria Feedback
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- Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
- Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
- Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Criteria D: Presentation
3/4
0
2
4
Criteria Strands
D.1Structure
Good
D.2Layout
Moderate
Criteria Feedback
- Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
- Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
- Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
- Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.