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Sampling methods determine how data is collected for a statistical investigation. Students must understand random, systematic and stratified sampling, and evaluate the strengths and limitations of each method.
Our tutors see these errors again and again. Knowing them in advance gives you a head start.
Confusing stratified sampling with quota sampling
Rounding stratum sizes incorrectly so the total does not match the sample size
Not recognising sources of bias in convenience or voluntary sampling
This topic is tested by the following exam boards. Our tutors are specialists in each one.
Frequency tables organise raw data into categories or class intervals for analysis. Students must construct tables, calculate totals, and use them to find averages and draw statistical diagrams.
StatisticsScatter graphs show the relationship between two variables and are used to identify correlation. Students plot data, draw lines of best fit, and use them to make predictions, while understanding the limitations of extrapolation.
StatisticsAverages are fundamental to data analysis. Students must calculate mean, median, mode and range from raw data, frequency tables and grouped data, and understand which average is most appropriate in different contexts.
Everything you need to know about revising for GCSE Maths in 2026. From building a revision schedule to mastering every topic area, this comprehensive guide covers exam structure, study strategies, and expert tips to maximise your grade.
Exam PreparationA clear guide to the differences between GCSE Maths Foundation and Higher tiers. Understand grade ranges, content differences, and how to make the right choice for your child's target grade and confidence level.
Study TipsA practical, step-by-step guide to improving from a grade 4 to a grade 7 in GCSE Maths. Covers diagnosing weak areas, mastering fundamentals, building exam technique, and knowing when to get expert help.
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