Covers all types of histogram questions.
A project ended for higher-ability GCSE students that (a) gives a basic overview of financial markets (b) introduces important spreadsheet skills and (c) tasks students with analysing stock market data and comparing to conventional savings accounts. Includes a link to a Google Sheet with the data and tasks. The 'solutions for teachers' PowerPoint contains a link to the fully completed task.
Covers all aspects of the GCSE 9-1 syllabus.
(From Tiffin Year 7 scheme of work) (a) Recognise a variety of ways to display data: * Construct pie charts, and finding frequencies from angles (and vice versa). * Be able to construct and interpret bar charts. * Construct stem and leaf diagrams. * Understand frequency diagrams and how grouped data can be put in tabular form. Be able to construct frequency polygons. (b) Be able to analyse data and calculate statistics: * Calculate the mean, mode, median and range (not quartiles) from listed data. * Find the mean, mode, median, range from a stem and leaf diagram. * Calculate the mean from a frequency table and estimate a mean from a grouped frequency table. * Solve (non-algebraic) problems involving mean, including combined means. * Appreciate the difference between continuous and discrete data.
GCSE question compilation which aims to cover all types of questions that might be seen on the topic of histograms. Students can complete this set of questions interactively on the DFM Homework Platform. Also contains answers.
(Used for Tiffin Year 8 scheme of work) (a) Recap: Know how to construct and interpret stem and leaf diagrams and frequency polygons. (b) Draw and interpret cumulative frequency diagrams and box plots. (c) Find quartiles, interquartile range from lists of data and cumulative frequency graphs.
(Used for Tiffin Year 8 scheme of work) (a) Draw and interpret scatter diagrams. (b) Identify correlation (e.g. "strong negative") (c) Draw a line of best fit and use to predict values. (d) Predict correlation (including strength) from real-life examples when data not given (e.g. house price with distance from London). (e) (Extension) Determine and use equation of line of best fit.
Two investigations into houses and house prices, exploring collection of data/designing a survey, and analysing/interpreting/representing data. Investigation 1 compares the homes of students to those in London.Investigation 2 investigates what factors affect London house prices. Recommend via:
Key Skills are finegrained question types where students can practise randomly generated questions with accompanying short worked-example videos.