Practice questions for every higher GCSE topic with papers self-mark so you can track progress.
Find the mean, median and mode from lists and stem and leaf diagrams
Find the mean, median and mode from frequency tables and line charts
Find the mean, median and modal class from grouped frequency tables and histograms
Find the mean, median and modal class from unequal grouped frequency tables and histograms
Draw and interpret bar charts and line charts including multiple and composite bar charts
Construct and interpret box plots using quartiles, median, IQR, range and outliers
Identify and construct outliers using quartiles, IQR, box plots, mean and standard deviation
Calculate and interpret skew using mean, median and standard deviation from data and sums
Calculate Spearman’s rank correlation coefficient by ranking data, finding d² and interpreting results
Classify categorical, ordinal and bivariate data and suggest suitable bivariate data to collect
Understand populations and sampling including census, samples, bias, sampling frames and sampling units
Interpret choropleth maps including identifying patterns, finding values and comparing distributions
Choose and design suitable data collection methods including simulations, experiments, data sheets and explanatory and response variables
Interpret and construct comparative pie charts including frequency, radius, totals and proportions
Compare data using bar charts, tables, histograms and box plots with averages and spread
Compare data using percentiles, means, standard deviation and unequal histograms
Understand experimental design including control groups and matched pairs
Draw and interpret cumulative frequency graphs to estimate values and find the median
Draw and interpret cumulative frequency step polygons including completing tables and finding cumulative frequencies
Describe skewness using histograms, frequency polygons, box plots and averages
Complete and interpret scatter diagrams, correlation, axis labels and causation
Identify and control extraneous variables to improve the validity and reliability of investigations
Draw and interpret frequency polygons including identifying identifying groups and comparing distributions
Find the geometric mean from data and from percentages
Create and evaluate grouped frequency tables including groups with dashes and decimal data
Draw and interpret histograms using frequency density including completing tables and estimating frequencies
Draw and interpret equal class width histograms including finding frequencies, totals and values within intervals
Find deciles, IDR and IPR from percentiles and cumulative frequency graphs
Read and interpret data and frequency tables including matching values and finding totals
Find the IQR from lists, frequency tables, stem and leaf diagrams and grouped data
Draw and interpret lines of best fit, estimates, interpolation, extrapolation, gradient and y-intercept
Understand how scaling and translation affect the mean, median and mode and transform data to find averages
Find mean seasonal variation and use trend lines to make and assess time series predictions
Identify misleading statistics graphs and charts and explain why they misrepresent data
Calculate and interpret moving averages, trend lines and trends on time series graphs
Apply multivariate stratified sampling including choosing suitable strata and calculating sample sizes
Identify non-random sampling methods including quota, judgement, opportunity and cluster sampling and evaluate them
Identify and handle anomalous data including correcting units and cleaning datasets
Select and interpret PMCC, compare correlation strength and identify non-linear relationships
Estimate the IQR, median and percentiles from cumulative frequency graphs and grouped tables
Understand and apply capture-recapture sampling including estimating population size, assumptions and issues
Read and complete pictograms including whole and partial symbols, keys and identifying the highest value
Interpret and construct pie charts including finding frequencies and identifying the most and least popular categories
Draw and interpret population pyramids including age groups, birth rates and explaining their shapes
Identify primary and secondary data sources, compare their advantages and disadvantages and assess suitability
Understand probability language, scales and why events are not always equally likely
Evaluate questionnaires and interviews including confidentiality, question design, bias and leading questions
Understand and apply the random response technique including its purpose, methods, estimation and limitations
Understand random sampling including selecting representative samples, identifying sampling issues and using random number generation
Find the range from lists, frequency tables, stem and leaf diagrams and grouped data
Find regression line equations, gradients and compare lines of best fit in context
Choose the best average (mean, median or mode) based on data and extreme values
Select and interpret SRCC, compare correlations and evaluate conclusions
Find standard deviation from lists, calculations and frequency tables
Draw and interpret stem and leaf diagrams including decimals, back-to-back diagrams and identifying key values
Understand stratified sampling including identifying strata, evaluating the method and calculating appropriate sample sizes
Understand and apply systematic sampling including sampling intervals, selecting numbers and evaluating the method
Create and interpret tally charts including completing frequencies, identifying errors and organising raw data
Draw and interpret time series graphs, trends, quarters and seasonal patterns
Construct and interpret two-way tables including completing tables and finding missing values
Identify qualitative, quantitative, discrete and continuous data and give suitable examples
Find weighted means from ratings, percentages, amounts, tables and combined means
Form and evaluate statistical hypotheses including identifying variables and deciding what data to collect