# CLARKSON SECONDARY SCHOOL. Course Name: Mathematics of Data Management Grade 12 University

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1 CLARKSON SECONDARY SCHOOL Course Code: MDM 4U Prerequisite: Functions, Grade 11, University Preparation, (MCR 3U0) or Functions and Applications, Grade 11, University/College Preparation, (MCF 3M0) Material Required: Course Name: Mathematics of Data Management Grade 12 University Course Description 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. Textbook Replacement Cost: \$ Overall Course Expectations A. COUNTING AND PROBABILITY 1. solve problems involving the probability of an event or a combination of events for discrete sample spaces; 2. solve problems involving the application of permutations and combinations to determine the probability of an event. B. PROBABILITY DISTRIBUTIONS 1. 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; 2. 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 1. demonstrate an understanding of the role of data in statistical studies and the variability inherent in data, and distinguish different types of data; 2. 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 1. analyse, interpret, and draw conclusions from one-variable data using numerical and graphical summaries; 2. analyse, interpret, and draw conclusions from two-variable data using numerical, graphical, and algebraic summaries; 3. 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 1. 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; 2. communicate the findings of a culminating investigation and provide constructive critiques of the investigations of others.

2 ASSESSMENT BREAKDOWN INCLUDING CATEGORIES AND WEIGHTINGS. Formative assessments are learning practices that provide important feedback to student progress and include homework checks, exit tickets, self assessments to name a few. Summative assessments form the foundation for final mark allocation at the end of a unit, term and exam. CATEGORIES % WEIGHT OF FINAL GRADE Knowledge 25 Application 25 Thinking 5 Communication 5 Culminating Investigation(s) 10 Final Examination 30 TOTAL 100 Unit Unit Breakdown Assessments Statistics: One Variable Data Analysis with Graphs, Indices, Sampling Techniques, Bias in Surveys, Measures of Central Tendency and Measures of Spread Statistics: Two Variable Scatter Plots and Linear Correlation, Linear Regression, Non-Linear Regression, Cause and Effect, and Critical Analysis Permutations & Organized Counting Combinations & the Binomial Theorem Organized Counting, Factorials and Permutations, Permutations with Some Identical Elements, Pascal s Triangle and the Application of Pascal s Triangle Organized Counting with Venn Diagrams, Combinations, Problem Solving with Combinations, The Binomial Theorem and the Application of the Binomial Theorem Introduction to Probability Basic Probability Concepts, Odds, Probabilities Using Counting Techniques, Dependent and Independent Events, Mutually Exclusive Events and Applying Matrices to Probability Problems Probability Distributions The Normal Distribution Culminating Investigation Probability Distributions, Binomial Distributions, Geometric Distributions and Hypergeometric Distributions Properties of the Normal Distribution, Normal Sampling and Hypothesis Testing, Confidence Intervals Students are required to 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. They must compile and submit a clear, well-organized, detailed report of their investigation. Students will also be required to present a summary of the investigation to an audience of their peers using presentation software and technology. Furthermore each student is required to critique the mathematical work of others in a constructive manner and likewise to respond to questions and critiques posed by their peers during their own presentation.. Written Report and Presentation

4 Plagiarism: Students are expected to demonstrate HONESTY and use proper citations and referencing when completing assessments. Plagiarism is defined as the unauthorized use or close imitation of the language and thoughts of another author and the representation of them as one's own original work. Examples include, but are not limited to; copying another s project (portions or whole) and paraphrasing parts of a book or article without reference or citation. In order to ensure that all assessments are free from plagiarism, Be required to complete a workshop in correct documentation produce their own work give credit through appropriate citations and referencing when quoting or paraphrasing the work of others be diligent in maintaining and protecting their own work seek clarification or assistance from teachers or other available resources If an assessment is plagiarized, Students may be: required to rewrite or resubmit all or parts of the assignment referred for remedial lessons on proper citation and references required to do a reflection on the character attribute of honesty referred to a vice-principal required to sign a contract with the administration and teacher about commitment to academic honesty assigned a zero. LATE ASSIGNMENTS submitted after the due date and before the absolute deadline. Students are expected to demonstrate RESPONSIBILITY and submit all assessments by the established due date. Students are responsible for providing evidence of their achievement of the overall course expectations within the time frame specified by the teacher and in a form approved by the teacher. There are consequences for not completing for evaluation or for submitting those late. In order to ensure that all evaluations are submitted by the established due date, record due dates in personal organizers consider other commitments including co-curricular activities in planning assignment completion negotiate alternate due date well before due date, not last minute (a minimum of 24 hours in advance or at teachers discretion) find out what they missed during absences use school support systems (i.e. special education, counselors, extra help, ) If an evaluation is submitted after the due date Students : must notify the teacher and explain why the assignment was not submitted on the due date in grades 9 & 10 a note from a parent/guardian may be required marks may be deducted for late may be required to complete the assignment with supervision may be referred to a school based support team or a vice-principal may be placed on a contract for assignment completion

5 MISSED ASSIGNMENTS either not submitted or submitted after the absolute deadline Excerpt from Policy 14. In order to ensure that all evaluations are submitted, be responsible for meeting and knowing absolute deadlines for missed use personal organizers to manage time and meet deadlines be responsible for maintaining on- going communication with their teacher take responsibility for missed work during all absences. If an evaluation is submitted after the absolute deadline, Students: must notify the teacher and explain why the assignment was not submitted students may be asked to provide a note from a parent/guardian may be required to complete the assignment or an alternate assignment under supervision may be referred to a school based support team or a vice-principal may be placed on a contract for assignment completion may be involved in an action plan to complete the required assignment within a given time frame may be assigned a zero. Course Code: MDM 4U Course Name: Mathematics of Data Management Grade 12 University Parent/Guardian Signature Student Signature Date

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