Help your Grade 3 students develop key math skills in data literacy and probability with this comprehensive Ontario Math resource. Designed to align with the Grade 3 Ontario Math Curriculum, this unit includes Google Slides presentations, worksheets, a unit review, and a rubric for assessment. Through real-world examples and engaging activities, students will practice tree diagrams, mean and mode, graphing, data analysis, probability calculations, and learn to interpret data in a variety of forms!
 
What’s Included in This Resource:
Google Slides Presentations: Engaging, easy-to-follow slides that introduce foundational concepts of data literacy and probability. These interactive presentations support visual learning with clear explanations and real-life examples.
Printable Worksheets: A variety of worksheets designed to reinforce data literacy and probability concepts, including activities on creating and interpreting bar graphs, pictographs, and simple probability calculations.
Unit Review: A review covering key concepts in data literacy and probability, helping students consolidate their understanding and prepare for assessments.
Answer Key: An answer key for all worksheets and activities to make grading easier and provide students with opportunities for self-assessment.
 
CHECK OUT THE PREVIEWS AND REVIEWS TO SEE WHY STUDENTS AND TEACHERS LOVE THIS RESOURCE!
 
Ontario Math Expectations covered in this product:
D1.1 sort sets of data about people or things according to two and three attributes, using tables and logic diagrams, including Venn, Carroll, and tree diagrams, as appropriate
D1.2 collect data through observations, experiments, and interviews to answer questions of interest that focus on qualitative and quantitative data, and organize the data using frequency tables
D1.3 display sets of data, using many-to- one correspondence, in pictographs and bar graphs with proper sources, titles, and labels, and appropriate scales
D1.4 determine the mean and identify the mode(s), if any, for various data sets involving whole numbers, and explain what each of these measures indicates about the data

D1.5 analyse different sets of data presented in various ways, including in frequency tables and in graphs with different scales, by asking and answering questions about the data and drawing conclusions, then make convincing arguments and informed decisions
D2.1 use mathematical language, including the terms “impossible”, “unlikely”, “equally likely”, “likely”, and “certain”, to describe the likelihood of events happening, and use that likelihood to make predictions and informed decisions
D2.2 make and test predictions about the likelihood that the mean and the mode(s) of a data set will be the same for data collected from different populations