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| Global School. Educational Innovation

| BSID 882692

Data Management (MDM4U)

Location

Ottawa - Ontario - Canada

+500 students approved this course

About the course

This course broadens students’ understanding of mathematics as it relates to managing data.Students will use methods for organizing and analyzing large amounts of information; they will use counting techniques, probability, and statistics in modeling and problem solving; and they will conduct a data management investigation that integrates the course expectations and encourages perseverance and independence. This course will be of particular interest to students planning to pursue university programs in business, social sciences, or the humanities. Curriculum Policy Document: Mathematics, The Ontario Curriculum, Grades 11 and 12, 2007

Overrall expectations

By the end of the course you will:

Counting And Probability

By the end of this course, students will:

  • solve problems involving the probability of an event or a combination of events for discrete sample spaces;
  • solve problems involving the application of permutations and combinations to determine the probability of an event.
Probability Distributions

By the end of this course, students will:

  • demonstrate an understanding of discrete probability distributions, represent them numerically, graphically, and algebraically,determine expected values, and solve related problems from a variety of applications;
  • demonstrate an understanding of continuous probability distributions, make connections to discrete probability distributions, determine standard deviations, describe key features of the normal distribution, and solve related problems from a variety of applications.
Organizations Of Data For Analysis

By the end of this course, students will:

  • demonstrate an understanding of the role of data in statistical studies and the variability inherent in data, and distinguish different types of data;
  • describe the characteristics of a good sample, some sampling techniques, and principles of primary data collection, and collect and organize data to solve a problem.
Statistical Analysis

By the end of this course, students will:

  • analyse, interpret, and draw conclusions from one-variable data
    using numerical and graphical summaries;
  • analyse, interpret, and draw conclusions from two-variable data
    using numerical, graphical, and algebraic summaries;
  • demonstrate an understanding of the applications of data management used by the media and the advertising industry and in various occupations.
Culminating Data Management Investigation

By the end of this course, students will:

  • design and carry out a culminating investigation* that requires the integration and application of the knowledge and skills related to the expectations of this course;
  • communicate the findings of a culminating investigation and provide constructive critiques of the investigations of others.

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