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

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

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

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