Transum Maths Software

Data Handling

There are 366 different Starters of The Day, many to choose from. You will find in the left column below some starters on the topic of Data Handling. In the right column below are links to related online activities, videos and teacher resources.

A lesson starter does not have to be on the same topic as the main part of the lesson or the topic of the previous lesson. It is often very useful to revise or explore other concepts by using a starter based on a totally different area of Mathematics.

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Data Handling Starters:

Average Smile: Calculate the mean, median and range of the given scores.

Pick From The Pot: The pot contains 10 counters which are being randomly removed and replaced. How many of each colour do you think are in the pot?

Pie Chart: An exercise in estimating what the sectors of a pie chart represent.

Tran's Hats: In how many different ways might Tran decide to wear his hats in one week?

Weather Maths: Eight mathematical questions about the current weather and times in four cities around the world.

 

Small images of these Starters | | |  Complete Index of Starters

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Practice Papers

Practice Papers

Mathematics GCSE(9-1) Higher style questions and worked solutions presented as twenty short, free, practice papers to print out.

 

Curriculum for Data Handling:

Year 5

Pupils should be taught to solve comparison, sum and difference problems using information presented in a line graph more...

Year 6

Pupils should be taught to interpret and construct pie charts and line graphs and use these to solve problems more...

Years 10 and 11

Pupils should be taught to {construct and interpret diagrams for grouped discrete data and continuous data, ie, histograms with equal and unequal class intervals and cumulative frequency graphs, and know their appropriate use} more...

Pupils should be taught to interpret, analyse and compare the distributions of data sets from univariate empirical distributions through appropriate graphical representation involving discrete, continuous and grouped data, {including box plots} and appropriate measures of central tendency (including modal class) and spread {including quartiles and inter-quartile range} more...

Pupils should be taught to apply statistics to describe a population more...

Pupils should be taught to use and interpret scatter graphs of bivariate data; recognise correlation and know that it does not indicate causation; draw estimated lines of best fit; make predictions; interpolate and extrapolate apparent trends whilst knowing the dangers of so doing. more...

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Notes:

See also the topics called Statistics and Averages.

The English National Curriculum states that at level 6 "Pupils collect and record continuous data, choosing appropriate equal class intervals over a sensible range to create frequency tables. They construct and interpret frequency diagrams. They construct pie charts. They draw conclusions from scatter diagrams, and have a basic understanding of correlation. When dealing with a combination of two experiments, they identify all the outcomes. When solving problems, they use their knowledge that the total probability of all the mutually exclusive outcomes of an experiment is 1."

Data Handling Teacher Resources:

A Show Of Hands: Produce a number of graphs and charts from a quick show of hands.

Human Scatter Graphs: Pupils move to positions in the room according to their data relative to the walls as axes.

Pie Chart Creator: A quick and convenient tool for rapidly creating simple pie charts.

Data Handling Activities:

Pie Charts: Develop the skills to construct and interpret pie charts in this self-marking set of exercises.

Pin Drop: Estimate the probability of a drawing pin landing point up from experimental data.

Data Handling Investigations:

Reaction Time: When the numbers appear hit the correct button depending on whether the numbers are even or odd

Data Handling Videos:

Scatter Graphs: Maths teachers from England construct a scatter graph from their heights and shoe sizes.

Visualising Data: Hans Rosling's famous lectures combine enormous quantities of public data with a sport's commentator's style to reveal the story of the world's past, present and future development.

Data Handling External Links:

Links to other websites containing resources for Data Handling are provided for those logged into 'Transum Mathematics'. Subscribing also opens up the opportunity for you to add your own links to this panel. You can sign up using one of the buttons below:

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