Curriculum Summary
|
Module |
Skill Area |
Focus Areas |
|
1. Data and its collection |
Data literacy |
Understand types of data; sampling methods; questionnaire design; bias. |
|
2. Representation of data |
Data presentation |
Use tables, charts, histograms, cumulative frequency curves; interpret visual data. |
|
3. Frequency distributions |
Summary representation |
Construct and analyse grouped/ungrouped distributions; class boundaries, histograms. |
|
4. Measures of central tendency |
Descriptive statistics |
Calculate and interpret mean, median, mode for ungrouped and grouped data. |
|
5. Quartiles, percentiles & dispersion |
Variability analysis |
Compute quartiles, percentiles, range, interquartile range, standard deviation; interpret dispersion. |
|
6. Transformations of data sets |
Data comparison |
Effect of adding/multiplying constants; combining datasets; scaling for comparison. |
|
7. Probability |
Probability theory |
Use notation; calculate event probabilities; understand mutually exclusive and independent events; Venn and tree diagrams. |
|
8. Probability distributions |
Distribution analysis |
Present distributions in tables; calculate expectation; interpret discrete distributions. |
|
9. Crude and standardised rates |
Comparative measures |
Calculate crude rates; standardise for population size comparisons. |
|
10. Index numbers |
Relative change |
Compute and analyse index numbers for economic or time-series data. |
|
11. Bivariate distributions |
Relationship analysis |
Interpret and analyse paired data; scatterplots and association. |
|
12. Time series data |
Trend interpretation |
Analyse data indexed over time; moving averages and trend discussion. |
Note: The content areas enable flexible course design that aligns with learners’ needs and may integrate real data examples where appropriate.
Assessment Overview
Cambridge IGCSE™ Statistics (0479) is assessed through two external examination papers.
|
Item |
Paper 1 |
Paper 2 |
|
Paper Type |
Calculator permitted |
Calculator permitted |
|
Duration |
2 hours 15 minutes |
2 hours 15 minutes |
|
Marks |
100 |
100 |
|
Weighting |
50% |
50% |
|
Skills Assessed |
Knowledge and methods; accurate computation; data handling |
Application and interpretation; problem solving with wider statistical contexts |
Key Assessment Features:
• Both papers use varied question lengths and styles to examine statistical knowledge, reasoning and interpretation.
• Calculators are used in both papers to support analysis and computations.
• Students are expected to show clear working and justify selection of methods where appropriate.
Cambridge official IGCSE Statistics 0479 syllabus link bellow:
https://www.cambridgeinternational.org/Images/718153-2027-syllabus.pdf