Chapter 10.1
Data collection and sampling methods
Understand sampling techniques, bias, and data quality issues.
Chapters15
Data analysis, probability, distributions, and hypothesis testing.
Time invested12 hrs
Approximate guided learning for GCSE mastery.
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Chapter 10.2
Types of data and data representation
Distinguish categorical, ordinal, and continuous data types.
Chapter 10.3
Frequency distributions and histograms
Create and interpret frequency tables, bar charts, and histograms.
Chapter 10.4
Pie charts, scatter diagrams, and stem-and-leaf plots
Draw and interpret various data display methods effectively.
Chapter 10.5
Measures of central tendency (mode, median, mean)
Calculate and compare averages for different data sets.
Chapter 10.6
Measures of spread (range, IQR, standard deviation)
Quantify data variability and identify outliers.
Chapter 10.7
Quartiles, percentiles, and box-and-whisker plots
Partition data and create comparative box plots.
Chapter 10.8
Correlation and lines of best fit
Analyze relationships in scatter diagrams and draw trend lines.
Chapter 10.9
Probability basics and sample space
Use equally likely outcomes and Venn diagrams for probability.
Chapter 10.10
Compound probability and tree diagrams
Find probabilities of combined events using multiplication rule.
Chapter 10.11
Conditional probability and Bayes' theorem
Handle probability when events are dependent (Higher tier).
Chapter 10.12
Frequency distributions and expected value
Create probability distributions and calculate expected outcomes.
Chapter 10.13
Binomial and normal distributions
Apply binomial models and use normal curves for continuous data.
Chapter 10.14
Hypothesis testing and statistical inference
Conduct significance tests and interpret p-values (Higher tier).
Chapter 10.15
Statistics & probability past paper practice
Final comprehensive exam-style questions covering all topics.
Congratulations on reaching the final section!
You've completed all 10 sections of Year 11 GCSE Maths revision. Review any challenging topics and take practice papers to consolidate your learning for exam success.