MDM4U Mathematics of Data Management – Grade 12 (University)
PREREQUISITES: Functions, Grade 11, University Preparation, or Functions and Applications, Grade 11, University/College Preparation
GRADE: 12 (University)
AVAILABILITY: Full-time – All Campuses, Part-time – All campuses, Private – All campuses, Blyth Academy Online
THE ONTARIO CURRICULUM: Mathematics
- In this Unit, students will be studying probability and it’s characteristics. Students will also learn counting principles and then apply those to calculating probabilities.
UNIT TWOCollecting Data
- In this Unit, students will be studying Data Collection, how it’s done and its characteristics. Students will learn how to recognize good data from bad data. The first step to good data management is good data collection. This unit looks at what data is, the various ways one can gather and collect it, and how to do all of this in a way that keeps the information free of bias. There are a lot of terms and ideas in this unit rather than calculations. It is also a fairly small unit but is crucial to good data management because whatever we learn after this could be disregarded if it was not collected in an accurate and fair manner.
UNIT THREEVariable Data Analysis Part 1
- In this Unit, students will be learning about the tools for analyzing one variable data sets. Students will learn tools to visually organize the information as well as numerically. Students will also learn other tools that they can use to summarize and explain data sets.
UNIT FOURVariable Data Analysis Part 2
- In this Unit, students will be learning the analysis of two-variable data. Students will learn to calculate regression and correlation by hand and technology. Students will also examine how to use graphs to come to conclusions as well as avoiding bias.
UNIT FIVEProbability Distributions
- In this unit, students will learn about how the concepts of probability and normal distribution connect and how they can use this information to help them make predictions and conclusions.
UNIT SIXConfidence Intervals
- In this unit, students are studying Confidence Intervals. These are basically ranges that we predict will have our mean for the data.
- This project is one of the final evaluations of MDM4U online. This project will challenge students to use the knowledge and skills they gained throughout this course and is worth 10% of the final grade.
FINAL EXAMProctored Exam
- This exam is the final evaluation of MDM4U online. Students need to arrange their final exam 10 days in advance. All coursework should be completed and submitted before writing the final exam, please be advised that once the exam is written, any outstanding coursework will be given a grade of zero. The exam will be two hours.
- Please consult our Frequently Asked Questions Page or the Exam section within your course for details on exam proctoring options.