• Introducing Spearman’s Coefficient

    This task introduces Spearman’s coefficient of ranked correlation, as a tool to solve the problem of making quantitative comparisons between pairs of rankings.

  • Averages and spread 3

    Averages and spread 3

    This is a revision exercise aimed at practising the skills of calculating different measures of location and dispersion. It allows students to practise the calculations and to explain the meaning of what they have calculated.

  • Designing Questionnaires

    This activity reviews some of the key points to be considered when designing an effective questionnaire.

  • Methods of Sampling

    This is a simple activity that asks students to review and summarise the key features, advantages and disadvantages of various sampling methods.

  • Types of data

    This task consists of a PowerPoint presentation that can be used to explain and review the distinctions between different types of data.

  • Body Temperature (Well or Unwell?)

  • Gambling


    Introduction to the mathematics and risks of gambling: How to calculate odds and the probability of winning/losing in a casino.

  • Skew in Histograms

    Skew in Histograms

    Examining real-life data, identifying skew and investigating the relationship between mean, median and mode for distributions with varying skew.

  • Which Team Won?

    Which Team Won?

    Using a mathematical model for a practical task and understanding that being 'fair' is not a precise concept.

  • Population Data - Lesson 6

    Population Data - Lesson 6

    This lesson focusses on the use of cumulative frequency diagrams and box plots.

  • Population Data - Lesson 5

    Population Data - Lesson 5

    This lesson focusses on statistical correlation.

  • Population Data - Lesson 4

    Population Data - Lesson 4

    This lesson focusses on the use of the standard deviation as a measure of spread, and the identification of statistical outliers.

  • Population Data - Lesson 3

    Population Data - Lesson 3

    This lesson focusses on the use of statistical diagrams and summary data

  • Population Data - Lesson 2

    Population Data - Lesson 2

    This lesson explores various methods of sampling, and uses these to selct countries for further analysis.

  • Population Data - Lesson 1

    Population Data - Lesson 1

    This lesson introduces the Demographic Transition Model for population change, and explores it using statistical calculations and graphs.

  • Baby boom

    Baby boom

    Introduction to the Normal Distribution

  • MEI - Scams

    MEI - Scams

    Students analyse real-world examples of scams to work out why the schemes are fraudulent.

  • Nuffield - Anthropometric data

    Nuffield - Anthropometric data

    Students are given a large dataset and have to investigate whether particular sets of data are related. Students should present their findings in the form of a report/presentation.

  • Best Songs Ever?

    Best Songs Ever?

    This activity is based on the idea of finding the best songs ever.

  • Due Dates

    Due Dates

    This is a pre-cursor to the Baby boom task and an initial introduction to the Normal distribution.

  • Chicken and Egg

    Chicken and Egg

    This is linked to the Baby boom task and a development of it to standardising Normal distributions.

  • Hot Shot – A Question of Consistency

    Hot Shot – A Question of Consistency

    This is a precursor to the linked tasks of Due date, Baby boom and Chicken and egg, on the Normal distribution.

  • Patriotic Design

    Patriotic Design

    This activity considers measures of correlation and introduces Spearman's Rank Correlation Coefficient.

  • Climate Change

    Climate Change

    Analysing trends in data using moving averages.

  • Eurovision 2015

    Eurovision 2015

    This is a critical analysis activity using data from the Eurovision Song Contest 2015.

  • Bivariate Data

    Bivariate Data

    Calculation and interpretation of Pearson’s product moment correlation coefficient as well as knowledge of the vocabulary associated with bivariate data.

  • Global Child Mortality

    Global Child Mortality

    This task uses statistics to assess whether the UN millennium goal (set in 2000) to reduce the under-five child mortality rate by two-thirds by the year 2015 has been realised.

  • Histograms


    This task introduces students to the use of histograms to display sets of grouped data with unequal class intervals.

  • Mammals


    This is an extended assignment that was designed to be completed over a half-term break and then assessed.

  • Microlives


    In this task students use statistical techniques to evaluate a number of Public Health initiatives, using the notion of a ‘microlife’ – a measure of the impact on an individual’s expected lifespan of various lifestyle choices.

  • Moving Averages

    Moving Averages

    In this task students construct line graphs for time series data, calculate the moving average and interpret the graph, stating conclusions.

  • The Normal Distribution – Using the Curve

    The Normal Distribution – Using the Curve

    This is an introductory activity on understanding the shape of a Normal distribution curve.

  • The Stroop Effect

    The Stroop Effect

    Students are introduced to the Stroop Effect (see this Wikipedia article for an introduction). They are then asked to design and conduct an experiment to test the effect.

  • Height and Speed

    Height and Speed

    This is a data-handling task for learners to work on in small groups (possibly in threes?) to perform a statistical investigation based on the question: ‘Does the height of a tennis player affect the top speed of their service?’

  • Who has the best results?

    Who has the best results?

    This task will help students understand how standardisation can be used to make comparisons.

  • Assessment 2 - Basic Skills

    Assessment 2 - Basic Skills

    This is a worksheet that assesses students’ understanding of basic statistical ideas.

  • Assessment 1 - Basic Skills

    Assessment 1 - Basic Skills

    This is a worksheet that assesses students’ understanding of basic statistical ideas.

  • Olympic 100m sprint times

    Olympic 100m sprint times

    Students present data and then analyse it in order to draw conclusions and make predictions. They can then assess the validity of their conclusions.

  • Averages and spread 2

    Averages and spread 2

    This is a revision activity to remind students how to calculate and interpret different measures of location and dispersion.

  • Averages and spread 1

    Averages and spread 1

    This is a matching task to remind students about the definitions of different measures of location and dispersion.