DATA MANAGEMENT

Grade 12

MDM4U

Prerequisite: Functions, Grade 11, University Preparation, or Functions and Applications, Grade 11, University/College Preparation

Admissions

Grade 12 Data Management

Course Type: University Preparation

Credit hours: 110

Credit: 1.0

This course broadens students’ understanding of mathematics as it relates to managing data. Students will apply methods for organizing and analysing large amounts of information; solve problems involving probability and statistics; and carry out a culminating investigation that integrates statistical concepts and skills. Students will also refine their use of the mathematical processes necessary for success in senior mathematics. Students planning to enter university programs in business, the social sciences, and the humanities will find this course of particular interest.

Overall Curriculum Expectations

COUNTING AND PROBABILITY

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

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.

ORGANIZATION OF DATA FOR ANALYSIS

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

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

1design 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.

Assessment & Evaluation for Student Achievement

According to Growing Success (2010), the main goal of assessment and evaluation is to enhance student learning. By gathering assessment data, teachers can identify students’ strengths and areas for improvement in relation to curriculum expectations. This information helps educators adjust their teaching methods and curriculum to better meet students’ needs while also evaluating the effectiveness of programs and classroom strategies. Additionally, teachers provide students with descriptive feedback to support their progress and encourage continuous improvement.

The final grade will be determined as follows:

70% of the grade will be based on ongoing assessments conducted throughout the course. This portion reflects the student’s most consistent level of achievement, with special consideration given to more recent evidence of learning.
30% of the grade will be based on a final evaluation completed at or near the end of the course. This assessment may include an exam, a performance, or another evaluation method appropriate to the course content. The final evaluation provides students with an opportunity to demonstrate their overall understanding of the course expectations.