Course Title: Grade 12 Data Management Online
Course Type: MDM4U
Credit Value: 1
Curriculum Policy Document: Mathematics, The Ontario Curriculum, Grades 11 and 12, 2007 (Revised)
Prerequisite: MCR3U or MCf3M
This course is based on the expectations and guidelines set by Ministry of Education’s Ontario Curriculum documents for Grade 11 and 12 Mathematics.
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.
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.
- 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.
- 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.
- 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.
- 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.
Data Management is broken down into the following units:
|1||One Variable Statistics|
|2||Two Variable Statistics|
|6||Discrete Probability Distributions|
|7||Continuous Probability Distributions|
The overall course is broken into Term Work and the Final Exam:
|Independent Study Project||10%|
All evaluations for the course are broken into the following skill category weightings:
Each activity accumulates the following mark total (Note: Marks are weighted by skill categories, not by activities):
|Independent Study Project||10.00%|
There is no required textbook for this course.
For additional resources, the recommended textbooks are:
- Mathematics of Data Management, McGraw-Hill Ryerson.
- Data Management, Nelson.
Student Achievement Levels
Assessment and evaluation is guided by the Ministry of Education’s Growing Success policy document. Student achievement will be communicated formally to parent(s)/guardian(s) by means of the Provincial Report Card for grades 9 – 12 courses. Information about student reporting, along with yearly communication timelines, can be found on the ‘Programs’ page of the Ministry of Education website. The levels of achievement are associated with percentage grades, and are defined as follows:
|Percentage||Achievement of the Provincial Curriculum Expectations|
|80-100%||The student has demonstrated the required knowledge and skills with a high degree of effectiveness. Achievement surpasses the provincial standard. (Level 4)|
|70-79%||The student has demonstrated the required knowledge and skills with considerable
effectiveness. Achievement meets the provincial standard. (Level 3)
|60-69%||The student has demonstrated the required knowledge and skills with some
effectiveness. Achievement approaches the provincial standard. (Level 2)
|50-59%||The student has demonstrated the required knowledge and skills with limited
effectiveness. Achievement falls much below the provincial standard. (Level 1)
|Below 50%||The student has not demonstrated the required knowledge and skills. Extensive
remediation is required.