Bi-variate data resources

Students complete a composite dot plot of temperatures using a weather map of the lower North Island.

Students interpret back-to-back stem-and-leaf graphs. Knowledge of the median is required.

Students complete an array to show the number of shaded and unshaded shapes. Students identify the most common shape.

Students interpret information presented in a composite histogram to answer questions involving percentages and comparisons.

Students answer questions and calculate percentages from a frequency table of tree heights.

Students answer questions about data in a triple bar graph of medals won by four countries. Calculation is required.

Students answer questions about a table showing hair and eye colour of students. Calculation is required.

Students interpret a scatterplot and identify statements about both details and overall information.

Students construct a composite dot plot of shots at a basketball hoop by two classes. They identify the mode and range, and make statements about the results.

Students display data on a back-to-back stem-and-leaf graph to show the times taken to complete two walks. The longer of the two walks is then identified.

Students interpret a back-to-back bar graph comparing and identifying a pattern in the data.

This practical task requires students to record data, which is read out to them, on a back-to-back stem-and-leaf graph. The leaves are then ordered into a second graph and the graph interpreted.

Students interpret bi-variate data on a bar graph to answer questions about social media and age of users.

Students are required to construct a composite bar graph based on Statistics New Zealand Time Use Survey data and are then required to make comparative statements based on gender.

Students construct a back-to-back stem-and-leaf graph of softball throwing distances from two sets of data.

Students complete a frequency table about South Island populations and construct a composite bar graph with a key.

Students draw a scatterplot of a table of data and describe the relationship between the two variables.

Students choose the best type of graph for a selection of sets of data.

Students study a dot plot of the months students' were born and answer questions interpreting the data.