Grade 5 Ontario Math: Data

Grade 5 Ontario Math: Data covers every expectation in the Grade 5 Data strand, D1.1 to D2.2, in the order a teacher would teach it. Students learn the difference between a census and a sample, and choose samples with simple random, stratified random and systematic random sampling. They turn frequencies into relative-frequency tables with fractions, decimals and percents, build stacked-bar graphs so groups of different sizes can be compared fairly, catch misleading graphs that don’t start at zero, and find the mean, median and mode of decimal data. In probability they write probabilities as fractions on a 0-to-1 probability line and compare theoretical and experimental results.

Two pages use real weather data from Environment and Climate Change Canada, exactly as published: ten September 2026 daily highs in Toronto and St. John’s give decimal data for the mean, median and mode, and ten days of rain records for Vancouver, Whitehorse, Toronto and St. John’s become a stacked-bar graph that challenges the idea that Vancouver is always the rainiest city. A two-page class investigation takes students from a sampling plan to an infographic they present.

Inside: teacher notes with a four-week teaching order, timing, materials, differentiation, the common misconceptions for each expectation and a map from expectation to pages; five teaching pages with worked examples; eleven practice pages; three activities; an end-of-strand assessment; and an answer key with every answer worked out and checked a second way. Everything is in black and white and nothing depends on colour. The free sample is the teacher notes and the relative-frequency practice page.