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Math Grade 12 Data Management & AP Statistics (MDM4U)

Regular price $299.00 Sale price $450.00

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  • Course Code: MDM4U
  • Course Type: University Preparation
  • Format: Online School Course
  • Prerequisite: MCR3U
  • Needed for: N/A
  • Course Format: Online, Learn at your own pace, built-in supports and prompts, Gamified Learning with Pop Quizzes, Online Exams, Auto-grading, Current Grade Displayed 
  • Report sent to: Final report automatically sent to your school and OUAC
  • Detailed Course Outline

Will I get Grade 12 Ontario High School Credit?

Yes! Our Grade 12 Ontario Math Program is approved by the Ministry of Education in Ontario to provide students around the world with High School Math Credit.  To get High School credit, you are required by the ministry to do 110 hours of Math.  

Please select one of these options to qualify for the credit: ON School Credit or ON Express Credit

  • ON School Credit gives you 8 months to do 110 hours of Math. 
  • ON Express Credit is an accelerated program where you have 4 months to do 110 hours of Math

Please note:

  • To get ON High School Credit for Grade 12 Data Management (MDM4U) you must have completed or be concurrently enrolled in Grade 11 Functions (MCR3U)
  • If you start the program with the No Credit option, you will need to re-register and redo completed modules to get the credit to meet ministry requirements. 

What will you learn?

In this course, you will thoroughly explore probabilities and how to analyze, understand, interpret, and apply data. You will be learning how to apply concepts such as proportions and distributions to analyze data and more!

This course explores the usage of probabilities in various contexts, alongside exploring the technical side of various ways to actually calculate probabilities. It also equips you with the skills required to set up accurate tests relating to real-life scenarios that will provide useful results. This will allow you to develop an essential skillset of mathematical skills that are highly applicable in real life and in many careers.


1) Probability
2) Probability Distribution
3) Study Design
4) Descriptive Statistics
5) Inference for Categorial Data: Proportions
6) Inference for Quantitative Data: Means
7) Inference for Categorial Data: Chi-Square
8) Inference for Quantitative Data: Slopes
9) Sampling Distributions

1) A device with access to the internet

2) Paper and pencils

After you purchase, you will receive an email to access the course at the Explorer Hop Learning Portal.

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