By the end of this lesson, students can:
Introduction: Review of univariate data [15 minutes]
Remind students what has been learned in previous lessons and have students test each other in pairs of what the below are:
Explain to students that they have already encountered univariate data in previous lessons.
Body: Class survey of height and shoe size [30 minutes]
Students are familiar with using box plots, stem and leaf plots to represent univariate data. Introduce scatter plots as the tool in representing and analysing bivariate data.
Distinguish from dot plots - frequency is implied on the vertical axis, whereas a separate axis is applied on a scatter plot.
To gather data, ask the class to sort into height order and call out their heights. For shoe size, ask them to sort themselves in groups of same shoe size. For a challenge, ask them to do so without talking!
As a teacher, draw a table of results on an excel spreadsheet and create a scatter plot. Students draw a rough sketch of this scatter plot in their books and record answers to the questions below in their books.
Ask students about this scatter plot:
Extension: Scatter Plot Applet
Conclusion: Reciprocal peer questioning [10 minutes]
Recap key takeaway for this lesson:
Ask students to think of a question they can ask about today's lesson following the structure below
Univariate and bivariate data worksheet
Students are given a worksheet where they need to record properties from their classmates or family such as height, wingspan, birthday, favourite colour, etc. Students graph and distinguish between categorical, numerical data sets as well as univariate and bivariate data sets.
In the worksheet, multiple applets are mentioned. Please find these linked below:
Note: These applets may be unfamiliar to students so model the use of them in class.