MDM4U – Mathematics of Data Management, Grade 12 (University)
Grade 12 Online Mathematics – Ontario Curriculum
Course Overview
MDM4U focuses on counting techniques, probability, statistics, and data analysis. Students learn how to collect, organize, and interpret data, design and evaluate probability models, and solve real-world problems using statistical reasoning.
This course is strongly recommended for university programs in business, psychology, social sciences, health sciences, and life sciences.
Units & Major Topics
Unit 1 – Combinatorics: Counting & Arrangements
- Fundamental counting principle
- Permutations and combinations
- Factorials and arrangement problems
- Applications to passwords, seating, and selection
Unit 2 – Probability Models
- Experimental vs. theoretical probability
- Independent and dependent events
- Conditional probability
- Tree diagrams and probability distributions
Unit 3 – Statistics & Data Analysis
- Data collection and sampling methods
- Measures of central tendency and variation
- Normal distribution and z-scores
- Interpreting data in context
Unit 4 – Organization of Data & Graphical Models
- Statistical graphs: histograms, boxplots, scatter plots
- Identifying trends and outliers
- Curve of best fit
- Modelling relationships between variables
Unit 5 – Two-Variable Statistics
- Correlation and causation
- Least-squares regression
- Residuals and prediction models
- Evaluating regression models in context
Unit 6 – Culminating Task & Final Review
- Integrated data analysis project
- Interpretation and communication of findings
- Preparation for the final evaluation
Assessment and Evaluation
The final grade for MDM4U follows the Ontario Ministry evaluation policy: Assessment and evaluation practices are aligned with Growing Success.
- Final grades are based on 70% Term work (assignments, quizzes, tests)
-
30% Final evaluation:
- Culminating Task – 10%
- Final Examination – 20%