Grade 12 Data Management and Analytics

PREREQUISITES: Function Analysis, Grade 11, University Preparation, or Functions and Applications, Grade 11, University/College Preparation

GRADE: 12 (University)

AVAILABILITY: Full-time, Part-time, Private and Online

This course broadens students’ understanding of mathematics as it relates to managing information. Students will apply methods for organizing large amounts of information; solve problems involving counting techniques, probability, and statistics; and carry out a culminating project that integrates the expectations of the course. Students will continue to develop the mathematical processes necessary for success in senior mathematics. Students planning to pursue university programs in business, the social sciences, and the humanities will find Data Management and Analytics of particular interest.

UNIT ONE

Probability

Essential Question: How do we determine the likelihood of everything?

  • In this Unit, students will be studying probability and it’s characteristics. Students will also learn counting principles and then apply those to calculating probabilities.

UNIT TWO

Collecting Data

Essential Question: How do we collect information?

  • In this Unit, students will be studying Data Collection, how it’s done and its characteristics. Students will learn how to recognize good data from bad data. The first step to good data management is good data collection. This unit looks at what data is, the various ways one can gather and collect it, and how to do all of this in a way that keeps the information free of bias. There are a lot of terms and ideas in this unit rather than calculations. It is also a fairly small unit but is crucial to good data management because whatever we learn after this could be disregarded if it was not collected in an accurate and fair manner.

UNIT THREE

Variable Data Analysis Part 1

Essential Question: Does data follow patterns?

  • In this Unit, students will be learning about the tools for analyzing one variable data sets. Students will learn tools to visually organize the information as well as numerically. Students will also learn other tools that they can use to summarize and explain data sets.

UNIT FOUR

Variable Data Analysis Part 2

Essential Question: How does time affect data sets?

  • In this Unit, students will be learning the analysis of two-variable data. Students will learn to calculate regression and correlation by hand and technology. Students will also examine how to use graphs to come to conclusions as well as avoiding bias.

UNIT FIVE

Probability Distributions

Essential Question: How do we tell the difference between unlikely and unfair?

  • In this unit, students will learn about how the concepts of probability and normal distribution connect and how they can use this information to help them make predictions and conclusions.

UNIT SIX

Confidence Intervals

Essential Question: How can we trust the data we are given? Is the mean always correct?

  • In this unit, students are studying Confidence Intervals. These are basically ranges that we predict will have our mean for the data.

CULMINATING PROJECT

10% of Final Grade

  • This project is one of the final evaluations of this course. This project will challenge students to use the knowledge and skills they gained throughout this course and is worth 10% of the final grade.

FINAL EXAM

Proctored Exam20% of Final Grade

  • This exam is the final evaluation of this course. Students need to arrange their final exam 10 days in advance. All coursework should be completed and submitted before writing the final exam, please be advised that once the exam is written, any outstanding coursework will be given a grade of zero. The exam will be two hours.