MDM4U · Data Management

Mathematics of Data Management

Use counting, probability distributions, statistics, and data analysis to reason carefully about uncertainty and evidence.

01

Counting methods

Organized counting avoids missed outcomes and distinguishes when order matters.

Learning goals

  • Apply the fundamental counting principle
  • Choose permutations or combinations
  • Use factorial notation

Core formulas

Permutations
Combinations
Count arrangements and selections
02

Probability and distributions

A distribution assigns probabilities to possible values of a random variable.

Learning goals

  • Apply conditional probability
  • Build discrete distributions
  • Choose an appropriate model

Core formulas

Conditional probability
03

Statistics and regression

Centre, spread, and association summarize data without replacing context.

Learning goals

  • Calculate mean and standard deviation
  • Interpret z-scores
  • Distinguish correlation from causation

Core formulas

Z-score
Summarize a dataset
04

Culminating investigation

A strong investigation moves from a focused question to transparent evidence and a qualified conclusion.

Learning goals

  • Design a responsible question
  • Collect or source data
  • Analyze, visualize, conclude, and reflect

Core formulas

Investigation flow
Review project requirements

Reference library

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