Part C


Lesson Overview

1. Introduction - Powerpoint
2. Hook – You Tube Scatter plots - (3.30 mins)
3. Overview of lesson
4. Procedural and Declarative knowledge (Ryan)
5. Key terms and definitions (Robyn)
6. Why Scatter Plots?(Heather)
  1. Scatter plots display the relationship/correlation/association between two variables otherwise known as bivariate data.
  2. First we sort the data into a table.
  3. Then we label the horizontal and vertical axes. The axes are named according to the data that is being compared, for example if you are comparing the age of a driver to their reaction time, the age would be on the horizontal axis, and the reaction time would be vertical axis. This is because the age is being compared to the reaction time, not the reaction time to the age.
  4. Set the scale in relation to the data table.
  5. Plot data using data table. Provide time for peers to plot data.
  6. Once the data is plotted we can check if there is a pattern.
  7. To help see if there is a pattern we can place a ‘line of best fit’ as close as possible to all dot points (or clusters).
  8. If a large number of points fall outside the line of best fit the scatter plot shows a weak (or negative) relationship or correlation between the 2 variables.
6. Discuss results.
7. Real life examples – quick quiz, Ryan (positive correlation), Robyn (negative correlation) and Heather (no correlation).
8. Discuss mathematical worth of other chosen learning objects.