Course name: Mathematics of Data Management Course code: (MDM4U)

Grade: 12
Credits:1.0
Type: University Preparation
Language of Study: English
Prerequisites: MCF3M or MCR3U
Course description: Learn more about mathematics for managing data. Organize and analyze information, solve probability problems, and carry out a culminating investigation that integrates statistical concepts and skills. Preview Course
Interested in taking this course? Please note:
  • If you are a student already enrolled in an Ontario High School, please contact your school about taking courses with TVO ILC.
  • If your goal is to earn a high school diploma or if you are a homeschool student, an academic assessment of your application must be done before choosing courses, please visit Apply Now to start your application.
MDM4U Mathematics of Data Management Grade 12 online course
Regular price
CA$500.00
Sale price
CA$500.00
Unit price
per 
Interested in taking this course? Please note:
  • If you are a student already enrolled in an Ontario High School, please contact your school about taking courses with TVO ILC.
  • If your goal is to earn a high school diploma or if you are a homeschool student, an academic assessment of your application must be done before choosing courses, please visit Apply Now to start your application.
Grade: 12
Credits:1.0
Type: University Preparation
Language of Study: English
Prerequisites: MCF3M or MCR3U
Course description: Learn more about mathematics for managing data. Organize and analyze information, solve probability problems, and carry out a culminating investigation that integrates statistical concepts and skills. Preview Course

Course Overview

This course will broaden your understanding of mathematics as it relates to managing data. You will apply methods for organizing and analysing large amounts of information; solve problems involving probability and statistics; and carry out a culminating investigation that integrates statistical concepts and skills. You will also refine your use of the mathematical processes necessary for success in senior mathematics. If you are planning to enter university programs in business, the social sciences, and the humanities you will find this course of particular interest.

Course Preview

This course is designed for independent study.
This course is designed for independent study. To review the lessons, please visit this page with a computer or tablet.
22 Lessons

1.1   Introducing the Importance of Data

1.2   Recognizing Bias Data Collection Principles and Methods

1.3   Analyzing Two Variable Data

1.4   Analyzing the Residuals and Outliers in Two Variable Data

1.6   Interpreting Data

2.1   Introducing One Variable Statistics

2.2   Calculating Measures of Central Tendency

2.3   Calculating Measures of Spread

2.5   Learning About Normal Distribution and Z-Scores

2.6   Applying Z-Scores to Discrete Data

2.7   Exploring Confidence Intervals

3.1   Introducing Organized Counting and the Fundamental Multiplicative Counting Principle

3.2   Learning about Permutations Factorials: Rule of Sum and Applications

3.3   Understanding Combinations

3.5   Counting Problems with Repeated Elements and Overlap

3.6   Investigating Pascal Triangle and Problems using Combinations

4.1   Introducing Experimental vs Theoretical Probability

4.2   Learning About Mutually Exclusive and Non-Mutually Exclusive Events

4.3   Understanding Independent and Dependent Events

4.5   Exploring Probability Distributions and Expected Value

4.6   4.6 Calculating Binomial Distribution and Hypergeometric Distribution

4.7   Applying Normal Approximation to the Binomial Distribution



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