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Summary Math Lit Ieb Scope/ Syllubus

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MATH LIT IEB SCOPE/ SYLLUBUS includes all the types of questions that cna be asked in exams paper 1 and paper 2 math lit ieb syllubus

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1

MATH LIT IEB SCOPE/ SYLLUBUS
PAPER 1
Exam abbreviations
 Accuracy = A
 Method = M
 Method continued accuracy = MCA
 Continued accuracy = CA
 Method accuracy = MA
 Rounding = R

How it will be tested
General Exam Skills & Approach
 Practice at least 10 past papers
 Understand difference between Mathematical Literacy and Mathematics
 Read all information carefully before answering
 Check if solutions make sense
 Communicate answers clearly with correct units
 Show all working and methods
 Round answers appropriately (round only at the end)
 Justify comparisons and opinions with calculations or problem info

Foundational Mathematical Skills
 Convert between word and number formats (especially money)
 Convert money values (cents ↔ rands, millions)
 Perform basic percentage calculations
 Substitute values into formulas
 Estimate values from graphs or tables
 Calculate percentage difference, increase, or decrease

Data Handling (approx. 35% of paper)
Collecting Data
 Know data collection instruments (observation, interview, questionnaire, survey)
 Develop and use appropriate data collection forms
 Understand populations vs samples and sampling effects
 Read and complete questionnaires
Classifying & Organising Data
 Understand categorical and numerical data (discrete and continuous)
 Sort data by categories and intervals
 Use tallies and frequency tables
 Explain difference between discrete and continuous data
 Complete frequency tables
 Sort data in order
 Count data values
Summarising Data
 Understand mean, median, mode
 Understand range, quartiles, interquartile range
 Know impact of outliers
 Understand strengths/limitations of averages and spread measures
 Calculate and decide best average with reasons
 Identify max and min values
Representing Data
 Know graph types: pie charts, histograms, bar graphs, line graphs, scatter plots, box-and-
whisker plots
 Interpret box plots
 Draw graphs from data tables
 Find missing pie chart percentages
Interpreting & Analysing Data
 Question data collection, organisation, summary, representation for bias/errors
 Interpret graphs
 Calculate percentages

Finance (approx. 60% of paper)

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February 4, 2026
Number of pages
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Written in
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Summary
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