Mathematics Applications & Interpretation (AI) IA Example: MODELLING… | RevisionDojo
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IB Mathematics Applications & Interpretation (AI) HL Internal Assessment Example
MODELLING INCOME INEQUALITY IN KENYA USING LORENZ CURVES,LOG-NORMAL DISTRIBUTION AND PARETO DISTRIBUTIONS.HL
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6
Official IB Result
IB Grade: 6
Criteria A: Presentation
2/4
0
2
4
Criteria StrandsPro
A.1Coherence and logical development
Moderate
A.2Organization and structure
Good
A.3Conciseness and relevance
Moderate
Criteria Feedback
The student's exploration has a clear overall structure with an introduction, modelling sections, comparison, and conclusion.
The student uses headings, tables, and figures to help the reader follow the progression of their investigation.
Most of the material stays relevant to the chosen topic of income inequality in Kenya.
There are several inconsistencies in the argument, including mismatched years, missing references to tables, and conflicting error claims.
Some sections repeat the same ideas rather than advancing the discussion.
Key graphs and comparisons are not always fully aligned with the text, which weakens the flow of the exploration.
Criteria B: Mathematical Communication
2/4
0
2
4
Criteria StrandsPro
B.1Mathematical language and notation
Moderate
B.2Multiple representations
Moderate
B.3Clarity and consistency
Moderate
Criteria Feedback
The student uses a range of mathematical language correctly in places, including terms such as Lorenz curve, residual, SSE, parameter, and Gini coefficient.
The student includes multiple representations such as tables, graphs, algebraic models, and worked calculations.
The student's writing is generally readable and the reader can usually identify what model or result they are discussing.
Notation is not always controlled consistently, especially when switching between symbols and when mixing percentages with proportions.
Some representations do not match the quantities being discussed, which makes parts of the communication misleading.
Several numerical claims conflict with each other, so the mathematical message is not always clear or dependable.
Criteria C: Personal Engagement
2/3
0
2
3
Criteria StrandsPro
C.1Independent thinking
Good
C.2Personal approach
Poor
C.3Creativity and initiative
Good
Criteria Feedback
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Criteria D: Reflection
1/3
0
2
3
Criteria StrandsPro
D.1Depth of reflection
Poor
D.2Critical analysis
Poor
D.3Connection to understanding
Poor
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 F: Use of Mathematics (HL)
6/6
0
3
6
Criteria StrandsPro
F.1Relevance and level
Moderate
F.2Accuracy and correctness
Poor
F.3Knowledge and understanding
Poor
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.