GCSE Statistics Data Collection Athletics Project (Part 4)Quick View
rachelgreathead

GCSE Statistics Data Collection Athletics Project (Part 4)

(3)
For Year 10 and 11 GCSE Statistics students. Using a real-life project approach this is the fourth lesson looking at data collection from Athletics statistics. Included is the lesson plan with links to videos, the Powerpoint presentation for the lesson and worksheets for students. There is also an overview of the full 5 lesson project. This lesson looks at how to generate a random sample, draw stem and leaf diagrams and cumulative step polygon diagrams, calculate angles in pie charts and then draw them. Can be adapted and used as a one-off lesson.
GCSE Statistics Data Collection Athletics Project (Part 5)Quick View
rachelgreathead

GCSE Statistics Data Collection Athletics Project (Part 5)

(2)
For Year 10 and 11 GCSE Statistics students. Using a real-life project approach this is the fifth and final lesson looking at data collection from Athletics statistics. Included is the lesson plan with links to videos, the Powerpoint presentation for the lesson and worksheets for students. There is also an overview of the full 5 lesson project. This lesson compares multiple bar charts, composite bar charts, percentage composite bar charts and comparative pie charts and how to draw them. Can be adapted and used as a one-off lesson.
GCSE Statistics Data Collection Athletics ProjectQuick View
rachelgreathead

GCSE Statistics Data Collection Athletics Project

(3)
For Year 10 and 11 GCSE Statistics students. Using a real-life project approach this is the first lesson looking at data collection from Athletics statistics. Included is the lesson plan with links to videos, the Powerpoint presentation for the lesson and worksheets for students. There is also an overview of the full 5 lesson project. This lesson introduces statistics, looks at how to write a hypothesis and the difference between Quantitative and Qualitative Data. Can be used as a one-off lesson.
GCSE Statistics Data Collection Athletics Project (Part 3)Quick View
rachelgreathead

GCSE Statistics Data Collection Athletics Project (Part 3)

(3)
For Year 10 and 11 GCSE Statistics students. Using a real-life project approach this is the third lesson looking at data collection from Athletics statistics. Included is the lesson plan with links to videos, the Powerpoint presentation for the lesson and worksheets for students. There is also an overview of the full 5 lesson project. This lesson looks at drawing and interpreting two-way tables, pictograms, bar and vertical line graphs. Can be used as a one-off lesson.
GCSE Statistics Data Collection Athletics Project (Part 2)Quick View
rachelgreathead

GCSE Statistics Data Collection Athletics Project (Part 2)

(2)
For Year 10 and 11 GCSE Statistics students. Using a real-life project approach this is the second lesson looking at data collection from Athletics statistics. Included is the lesson plan with links to videos, the Powerpoint presentation for the lesson and worksheets for students. There is also an overview of the full 5 lesson project. This lesson looks at what is meant by a population, the difference between a census and a sample. It then looks at different types of sampling. The pupils then use quota sampling to collect data and display it in a frequency table. Can be used as a one-off lesson.
GCSE Statistics Representing Continuous Data - Memory ProjectQuick View
rachelgreathead

GCSE Statistics Representing Continuous Data - Memory Project

(1)
For Year 10 and 11 GCSE Statistics students. Using a real-life project approach this is the first lesson looking at data collecting and representing continuous data using data collected by pupils. Included is the lesson plan with links to videos, the Powerpoint presentation for the lesson and worksheets for students. There is also an overview of the full 5 lesson project. This lesson introduces collecting primary data and creating questionnaires. Pupils also find averages - mode, mean and median. The following lessons use the data collected by pupils and look at sampling, drawing cumulative frequency graphs, equal and unequal class histograms, frequency polygons and the shape of distributions.