Ontario, Canada · Curriculum spine

Grade 12

12 concepts across 1 subject. Codes follow the ministry's own expectation numbers; where a course is broken into bites (chapter.bite), each bite names the expectations it covers.

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Mathematics of Data Management (MDM4U)

The Ontario Curriculum, Grades 11 and 12: Mathematics, 2007 · 12 concepts
Strand A

Counting and Probability

Permutations, combinations and probability.

3
  1. A1.1
    Counting principles
    Use the additive and multiplicative counting principles and Venn diagrams.
    sort cards
    Coming to Studio
  2. A1.2
    Permutations and combinations
    Count arrangements and selections and use Pascal's triangle.
    After A1.1pattern blocks
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  3. A2.1
    Probability
    Compute theoretical and experimental probabilities, including with counting techniques.
    After A1.2spinner
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Strand B

Probability Distributions

Discrete and continuous distributions.

2
  1. B1.1
    Discrete distributions
    Describe uniform, binomial and hypergeometric distributions and their expected values.
    After A2.1bar graph
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  2. B2.1
    The normal distribution
    Use the normal distribution and z-scores to solve problems.
    After B1.1function grapher
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Strand C

Organization of Data for Analysis

Data types, sampling and bias.

2
  1. C1.1
    Kinds of data and variables
    Distinguish data types and variables and choose appropriate representations.
    data table
    Coming to Studio
  2. C2.1
    Sampling and bias
    Design surveys, choose sampling methods and identify sources of bias.
    After C1.1reflection
    Coming to Studio
Strand D

Statistical Analysis

One- and two-variable statistics and validity.

3
  1. D1.1
    One-variable statistics
    Compute and interpret measures of central tendency and spread.
    After C1.1dot plot
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  2. D2.1
    Two-variable statistics
    Analyse correlation, regression and causation.
    After D1.1cartesian grid
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  3. D3.1
    Evaluating statistical claims
    Judge the validity of statistical conclusions in the media.
    After D2.1reading pane
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Strand E

Culminating Data Management Investigation

A full investigation from question to report.

2
  1. E1.1
    Designing the investigation
    Pose a significant question and plan the data collection and analysis.
    After C2.1modelling canvas
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  2. E1.2
    Presenting the investigation
    Analyse the data, draw conclusions and present the findings.
    After E1.1D2.1modelling canvas
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