Subject
Mathematics
Course description:
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.
Grade: 12
Type: University Preparation
Language of Study: English
Prerequisites:
MCF3M
or
MCR3U
Course description:
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 Lessons
This course is designed for independent study.
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TVO Learn supports families and educators with curriculum-aligned resources, some
of which are being upgraded for content and accessibility. Thank you for your patience.
This course is designed for independent study.
To review the lessons, please visit this page with a computer or tablet.
22 Lessons
5 Lessons
1.1
Introducing the Importance of Data
1.1
Introducing the Importance of Data
1.2
Recognizing Bias Data Collection Principles and Methods
1.2
Recognizing Bias Data Collection Principles and Methods
1.3
Analyzing Two Variable Data
1.3
Analyzing Two Variable Data
1.4
Analyzing the Residuals and Outliers in Two Variable Data
1.4
Analyzing the Residuals and Outliers in Two Variable Data
1.6
Interpreting Data
1.6
Interpreting Data
6 Lessons
2.1
Introducing One Variable Statistics
2.1
Introducing One Variable Statistics
2.2
Calculating Measures of Central Tendency
2.2
Calculating Measures of Central Tendency
2.3
Calculating Measures of Spread
2.3
Calculating Measures of Spread
2.5
Learning About Normal Distribution and Z-Scores
2.5
Learning About Normal Distribution and Z-Scores
2.6
Applying Z-Scores to Discrete Data
2.6
Applying Z-Scores to Discrete Data
2.7
Exploring Confidence Intervals
2.7
Exploring Confidence Intervals
5 Lessons
3.1
Introducing Organized Counting and the Fundamental Multiplicative Counting Principle
3.1
Introducing Organized Counting and the Fundamental Multiplicative Counting Principle
3.2
Learning about Permutations Factorials: Rule of Sum and Applications
3.2
Learning about Permutations Factorials: Rule of Sum and Applications
3.3
Understanding Combinations
3.3
Understanding Combinations
3.5
Counting Problems with Repeated Elements and Overlap
3.5
Counting Problems with Repeated Elements and Overlap
3.6
Investigating Pascal Triangle and Problems using Combinations
3.6
Investigating Pascal Triangle and Problems using Combinations
6 Lessons
4.1
Introducing Experimental vs Theoretical Probability
4.1
Introducing Experimental vs Theoretical Probability
4.2
Learning About Mutually Exclusive and Non-Mutually Exclusive Events
4.2
Learning About Mutually Exclusive and Non-Mutually Exclusive Events
4.3
Understanding Independent and Dependent Events
4.3
Understanding Independent and Dependent Events
4.5
Exploring Probability Distributions and Expected Value
4.5
Exploring Probability Distributions and Expected Value
4.6
4.6 Calculating Binomial Distribution and Hypergeometric Distribution
4.6
4.6 Calculating Binomial Distribution and Hypergeometric Distribution
4.7
Applying Normal Approximation to the Binomial Distribution
4.7
Applying Normal Approximation to the Binomial Distribution