K-12 Maths Canadian Curriculum

Chapters

1Early Numeracy and Number Sense (K–2)

2Operations and Strategies (K–3)

3Patterns and Algebraic Thinking (1–4)

4Geometry: Shapes and Spatial Reasoning (K–4)

5Measurement and Time (K–5)

6Fractions and Decimals (3–6)

7Data Literacy and Probability Basics (2–6)

8Proportional Reasoning and Percent (5–8)

9Integers and Rational Numbers (6–8)

10Algebra: Expressions, Equations, and Inequalities (7–9)

11Geometry: Similarity, Congruence, and Transformations (7–9)

12Functions and Graphing (8–10)

13Trigonometry and Right Triangles (9–11)

14Statistics, Probability, and Data Science (9–12)

Sampling Methods and Bias Designing Surveys and Experiments Box Plots and Histograms Measures of Spread and Z-Scores Normal Distribution (Intro)Two-Variable Data and Correlation Lines of Best Fit and Regression Categorical Data and Chi-Square (Intro)Counting Principles and Combinations Theoretical vs Experimental Probability Conditional Probability and Independence Data Ethics and Privacy in Canada

15Financial Literacy and Mathematical Modelling (7–12)

Courses/K-12 Maths Canadian Curriculum/Statistics, Probability, and Data Science (9–12)

Statistics, Probability, and Data Science (9–12)

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Design studies, analyze distributions and relationships, apply probability and counting, and interpret data ethically and critically.

Content

8 of 12

Categorical Data and Chi-Square (Intro)

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