1. Lessons
2. Gr12
3. Math
4. Data Management

Data Management

Tools for Data Management

• The Iterative Process
• Data Management Software
• Databases
• Simulations
• Graph Theory
• Modelling with Matrices
• Problem Solving with Matrices

Statistics of One Variable

• Data Analysis with Graphs
• Indices
• Sampling Techniques
• Bias in Surveys
• Measures of Central Tendency
• Measures of Spread

Statistics of Two Variables

• Scatter Plots and Linear Correlation
• Linear Regression
• Non-Linear Regression
• Cause and Effect
• Critical Analysis

Permutations and Organized Counting

• Organized Counting
• Factorials and Permutations
• Permutations with Identical Items
• Pascal's Triangle
• Applying Pascal's Method

Combinations and the Binomial Theorem

• Organized Counting with Venn Diagrams
• Combinations
• Problem Solving with Combinations
• Binomial Theorem

Introduction to Probability

• Probability Fundamentals
• Odds
• Probabilities using Counting Techniques
• Dependent and Independent Events
• Mutually Exclusive Events
• Applying Matrices to Probability Problems

Probability Distributions

• Probability Distributions
• Binomial Distributions
• Geometric Distributions
• Hypergeometric Distributions

Normal Distributions

• Continuous Probability Distributions
• Properties of Normal Distribution
• Normal Sampling and Modelling
• Normal Approximation
• Repeated Sampling and Hypothesis Testing
• Confidence Intervals