B. PROBABILITY DISTRIBUTIONS
OVERALL EXPECTATIONS
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.
C. ORGANIZATION OF DATA FOR ANALYSIS
OVERALL EXPECTATIONS
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.
D. STATISTICAL ANALYSIS
OVERALL EXPECTATIONS
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.
E. CULMINATING DATA MANAGEMENT INVESTIGATION
OVERALL EXPECTATIONS
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.
More pleae click : MDM4U - Mathematics of Data Management