Complete guide to School-Based Assessment for CSEC Mathematics with suggested topics, marking scheme, and sample project
The School-Based Assessment (SBA) is an integral part of student assessment in CSEC Mathematics. It allows students to apply mathematical concepts to real-world situations and develop critical thinking skills. The SBA contributes significantly to your final grade.
Your SBA report MUST include these 6 sections:
| Section | What's Assessed | Marks |
|---|---|---|
| Project Title | Clear, concise, real-world relevance | 2 |
| Introduction | Objectives, background, purpose, method | 6 |
| Method of Data Collection | Appropriate methods, clear description | 3 |
| Presentation of Data | Tables, graphs, organization, accuracy | 8 |
| Analysis of Data | Mathematical concepts, calculations, steps | 6 |
| Conclusion | Based on analysis, related to objectives | 3 |
| Overall Presentation | Logical flow, grammar, organization | 2 |
Educational resources, tutoring services, or study materials could be advertised here
Contact for advertising opportunities
Here's an example of how to structure your SBA project:
"Comparative Analysis of Hire Purchase vs Cash Payment for Electronics at Two Local Stores"
Objective: To determine whether hire purchase or cash payment is more economical when purchasing electronics.
Background: Many consumers face the dilemma of choosing between paying cash or using hire purchase options...
Visited two electronics stores (Store A and Store B) to collect prices for:
Recorded cash prices and hire purchase terms (down payment, monthly payments, duration, interest rates).
Total Hire Purchase Cost Formula:
Total = Down Payment + (Monthly Payment × Number of Months)
Interest Calculation:
Interest = Total Hire Purchase Cost - Cash Price
Percentage Interest:
% Interest = (Interest ÷ Cash Price) × 100
Replace complex numbers with simple ones to understand the problem, then apply the solution to original numbers.
Visualize problems using diagrams, charts, or graphs to understand spatial relationships.
Organize data in tables to identify patterns and relationships between variables.
Identify recurring patterns in data that can lead to mathematical generalizations.