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This resource from the Nuffield Foundation allows students to investigate relationships between anthropometric variables and write a report on their findings, which may include the use of scatter diagrams, lines of best fit, regression lines, and correlation coefficients. The spreadsheet contains anthropometric...

 

 This resource uses the real-life context of the British America’s Cup team INEOS TEAM UK.  The video shows the crucial role of data collection and analysis in developing the performance of both the boat and crew and the importance of maths in that data analysis.  

Students will...

From the Integrating Mathematical Problem Solving project by Mathematics in Education and Industry (MEI), this activity for post-16 students demonstrates that if a link is suspected between a risk factor and an illness, statistical methods can be used to test whether such a link exists. Topic areas covered are:...

This Core Maths resource includes data from which students can calculate correlation coefficients. The resources includes a card sort that matches up scatter-graphs, data tables and product moment correlation coefficients. 

The teachers' notes give detailed teaching suggestions on how to introduce and...

This Core Maths task involves substituting values into the BMI formula in order to make health decisions.

An introductory ...

Boxes and bottles come in all shapes and sizes. These Cre8ate maths activities explore some of the mathematics behind packaging decisions taken by manufacturers, they provide a platform for students to make conjectures and find efficient ways of recording results to justify claims they have made. In Boxing stock...

These Cre8ate maths activities require the use of averages, ranges, percentages, histograms, stem and leaf displays, pie charts, and tables to make comparisons, interpretations, and conclusions. They also provide real data about pupils for analysis. Performing the “How far can you …?” events in the classroom will...

When you have a set of data the first thing you need to do is to check it out and eliminate any obviously wrong or false data. This is called “Cleaning the Data”.

This resource from CensusAtSchool provides a...

The Nuffield Foundation provides this activity which students use to create spreadsheets that model what would happen to the temperature of the Earth if there were to be a sudden change in the amount of radiation entering or leaving the planet. Students then investigate polynomial and exponential functions to find...

The Nuffield Foundation provides this resource which shows students how, given a set of measurements along an irregular coastline, it is possible to approximate the area of land which is lost to coastal erosion over a period of time. Coastal erosion A - this activity uses the context of coastal erosion to introduce...

From the Integrating Mathematical Problem Solving project by Mathematics in Education and Industry (MEI), this activity shows how compound interest can be calculated over different intervals. As the intervals get smaller and smaller, the total value approaches a limit. Topic areas covered are:
• Use of...

This activity from the Nuffield Foundation shows students how to use a recurrence relation to work out how long it takes to pay off a credit card loan and how much it costs. They can use a graphic calculator or spreadsheet to do the working. After working through the given example, where a customer spends £1250 and...

In this resource from CensusAtSchool, a set of data is presented with little background information. Students are invited, via a series of questions, to turn the data into usable, useful information applying both mathematical reasoning and use of statistical methods.

It encourages the use of spreadsheets as...

These supplementary materials for discussing data contain full colour versions of the graphs and diagrams for all the activities in the Discussing Data Activity Book. The graphs and diagrams are split into the six areas described in the book .

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In this resource from stats4schools, students are asked to consider whether the popularity of getting married has changed over time. Students interpret a time series graph and answer questions on it and discuss qualities for a good marriage. They investigate further using the internet.

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