Interpreting Data Assessment
This assessment resource includes two versions—a standard and a modified version—to support differentiated instruction and evaluation of students' understanding of data analysis. Both assessments focus on interpreting data sets, identifying trends, outliers and variations and making evidence-based recommendations. The modified version simplifies language and data sets to support diverse learning needs. This versatile resource is ideal for assessing students' ability to interpret and draw conclusions from real-world data.
Learning goals
- We are learning to interpret and compare the four types of data sets (ordinal, nominal, discrete, continuous) using comparative displays and determining the range, mode (frequency) and shape of data in graphs, dot plots and bar charts.
- We are learning to interpret secondary data (data collected by others) represented in digital media, books, scientific papers etc. and identify potentially misleading data representations.
- We are learning to pose questions, collect and interpret categorical or numerical data by observation or survey.
- We are learning to interpret and compare data displays, including side-by-side column graphs, tables and diagrams for two categories (e.g. age, height) and compare the usefulness of each display for data interpretation.
- We are learning to interpret secondary data (data collected by others) represented in digital media, books, scientific papers etc. and identify potentially misleading data representations.
Curriculum alignment
Australian Curriculum covers QLD / SA / WA / NT / TAS / ACT.
Differentiation
Modifications
• Use the modified assessment.