Higher GCSE Topics

Practice questions for every higher GCSE topic with papers self-mark so you can track progress.

Averages from a list

Find the mean, median and mode from lists and stem and leaf diagrams

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Averages from frequency tables

Find the mean, median and mode from frequency tables and line charts

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Averages from grouped frequency tables

Find the mean, median and modal class from grouped frequency tables and histograms

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Averages from unequal grouped frequency tables

Find the mean, median and modal class from unequal grouped frequency tables and histograms

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Bar charts

Draw and interpret bar charts and line charts including multiple and composite bar charts

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Birth and death rates

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Box plots

Construct and interpret box plots using quartiles, median, IQR, range and outliers

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Calculating outliers

Identify and construct outliers using quartiles, IQR, box plots, mean and standard deviation

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Calculating skew

Calculate and interpret skew using mean, median and standard deviation from data and sums

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Calculating Spearman’s rank correlation coefficient

Calculate Spearman’s rank correlation coefficient by ranking data, finding d² and interpreting results

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Categorical, ordinal and bivariate data

Classify categorical, ordinal and bivariate data and suggest suitable bivariate data to collect

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Census and sampling

Understand populations and sampling including census, samples, bias, sampling frames and sampling units

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Chain base index numbers

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Choropleth maps

Interpret choropleth maps including identifying patterns, finding values and comparing distributions

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Collecting data

Choose and design suitable data collection methods including simulations, experiments, data sheets and explanatory and response variables

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Comparative pie charts

Interpret and construct comparative pie charts including frequency, radius, totals and proportions

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Compare data sets

Compare data using bar charts, tables, histograms and box plots with averages and spread

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Compare IPR, SD and histograms

Compare data using percentiles, means, standard deviation and unequal histograms

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Conditional probability

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Control groups and matched pairs

Understand experimental design including control groups and matched pairs

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Cumulative frequency diagrams

Draw and interpret cumulative frequency graphs to estimate values and find the median

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Cumulative frequency step polygons

Draw and interpret cumulative frequency step polygons including completing tables and finding cumulative frequencies

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Describing skew

Describe skewness using histograms, frequency polygons, box plots and averages

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Draw and describe scatter diagrams

Complete and interpret scatter diagrams, correlation, axis labels and causation

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Experimental probability

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Extraneous variables

Identify and control extraneous variables to improve the validity and reliability of investigations

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Frequency polygons

Draw and interpret frequency polygons including identifying identifying groups and comparing distributions

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General addition law

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Geometric mean

Find the geometric mean from data and from percentages

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Grouping data

Create and evaluate grouped frequency tables including groups with dashes and decimal data

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Histograms

Draw and interpret histograms using frequency density including completing tables and estimating frequencies

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Histograms with equal class widths

Draw and interpret equal class width histograms including finding frequencies, totals and values within intervals

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Independent events

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Index numbers

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Interpercentile and interdecile range

Find deciles, IDR and IPR from percentiles and cumulative frequency graphs

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Interpreting data tables

Read and interpret data and frequency tables including matching values and finding totals

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Interquartile range

Find the IQR from lists, frequency tables, stem and leaf diagrams and grouped data

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Line of best fit

Draw and interpret lines of best fit, estimates, interpolation, extrapolation, gradient and y-intercept

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Linear scaling and translations

Understand how scaling and translation affect the mean, median and mode and transform data to find averages

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Mean seasonal variation and predicted values

Find mean seasonal variation and use trend lines to make and assess time series predictions

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Misleading diagrams

Identify misleading statistics graphs and charts and explain why they misrepresent data

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Moving averages

Calculate and interpret moving averages, trend lines and trends on time series graphs

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Multivariate stratified sampling

Apply multivariate stratified sampling including choosing suitable strata and calculating sample sizes

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Mutually exclusive and exhaustive events

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Non-random sampling

Identify non-random sampling methods including quota, judgement, opportunity and cluster sampling and evaluate them

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Outliers and cleaning data

Identify and handle anomalous data including correcting units and cleaning datasets

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Pearson’s product moment correlation coefficient

Select and interpret PMCC, compare correlation strength and identify non-linear relationships

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Percentiles and quartiles on graphs

Estimate the IQR, median and percentiles from cumulative frequency graphs and grouped tables

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Peterson capture/recapture

Understand and apply capture-recapture sampling including estimating population size, assumptions and issues

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Pictograms

Read and complete pictograms including whole and partial symbols, keys and identifying the highest value

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Pie charts

Interpret and construct pie charts including finding frequencies and identifying the most and least popular categories

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Population pyramids

Draw and interpret population pyramids including age groups, birth rates and explaining their shapes

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Primary and secondary data

Identify primary and secondary data sources, compare their advantages and disadvantages and assess suitability

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Probability scales

Understand probability language, scales and why events are not always equally likely

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Questionnaires and interviews

Evaluate questionnaires and interviews including confidentiality, question design, bias and leading questions

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Random response technique

Understand and apply the random response technique including its purpose, methods, estimation and limitations

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Random sampling

Understand random sampling including selecting representative samples, identifying sampling issues and using random number generation

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Range

Find the range from lists, frequency tables, stem and leaf diagrams and grouped data

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Regression line

Find regression line equations, gradients and compare lines of best fit in context

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Risk

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RPI, CPI and GDP

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Sample space diagrams

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Selecting an average

Choose the best average (mean, median or mode) based on data and extreme values

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Spearman’s rank correlation coefficient

Select and interpret SRCC, compare correlations and evaluate conclusions

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Standard deviation

Find standard deviation from lists, calculations and frequency tables

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Standardised birth and death rates

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Stem and Leaf diagrams

Draw and interpret stem and leaf diagrams including decimals, back-to-back diagrams and identifying key values

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Stratified sampling

Understand stratified sampling including identifying strata, evaluating the method and calculating appropriate sample sizes

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Systematic sampling

Understand and apply systematic sampling including sampling intervals, selecting numbers and evaluating the method

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Tally charts

Create and interpret tally charts including completing frequencies, identifying errors and organising raw data

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Time series graphs

Draw and interpret time series graphs, trends, quarters and seasonal patterns

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Tree diagrams for independent events

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Two-way tables

Construct and interpret two-way tables including completing tables and finding missing values

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Types of data

Identify qualitative, quantitative, discrete and continuous data and give suitable examples

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Venn diagrams

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Weighted index numbers

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Weighted mean

Find weighted means from ratings, percentages, amounts, tables and combined means

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Writing a hypothesis

Form and evaluate statistical hypotheses including identifying variables and deciding what data to collect

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