Subject
Subject: Mathematics
Grade: 12
Credits:1.0
Type: University Preparation
Language of Study: English
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?
- 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
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 fees are partially subsidized for most Ontario residents. The administrative fee covers the cost for us to process your application.
Interested in taking this course?
- 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.
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
Course Syllabus
1.1
Introducing organized counting
1.1
Introducing organized counting
1.2
Counting permutations
1.2
Counting permutations
1.3
Counting combinations
1.3
Counting combinations
1.4
Investigating Pascal's triangle
1.4
Investigating Pascal's triangle
1.5
Counting with repetitions and overlap
1.5
Counting with repetitions and overlap
2.1
Comparing experimental and theoretical probability
2.1
Comparing experimental and theoretical probability
2.2
Learning about mutually exclusive and non-mutually exclusive events
2.2
Learning about mutually exclusive and non-mutually exclusive events
2.3
Understanding independent and dependent events
2.3
Understanding independent and dependent events
2.4
Introducing the importance of data
2.4
Introducing the importance of data
2.5
Collecting data and recognizing bias
2.5
Collecting data and recognizing bias
3.1
Introducing one variable statistics
3.1
Introducing one variable statistics
3.2
Calculating measures of central tendency
3.2
Calculating measures of central tendency
3.3
Calculating measures of spread
3.3
Calculating measures of spread
3.4
Analyzing two variable data
3.4
Analyzing two variable data
3.5
Analyzing the residuals and outliers in two variable data
3.5
Analyzing the residuals and outliers in two variable data
3.6
Interpreting data
3.6
Interpreting data
4.1
Exploring probability distributions and expected value
4.1
Exploring probability distributions and expected value
4.2
Applying binomial and hypergeometric distributions
4.2
Applying binomial and hypergeometric distributions
4.3
Learning about normal distribution and z-scores
4.3
Learning about normal distribution and z-scores
4.4
Applying the normal approximation to a binomial distribution
4.4
Applying the normal approximation to a binomial distribution
4.5
Exploring confidence intervals
4.5
Exploring confidence intervals