M212:PredictiveModeling
Can the number of people in a household predict water usage? Can technology predict whether you'll like a song before you hear it? In M212 Predictive Modeling, you'll master the skill of asking the right statistical questions — and learn how to choose and apply models that can answer them.
In M212 Predictive Modeling, you will:
• Ask statistical questions and identify what kind of model will best answer them
• Explore multiple modeling methods and apply them to real datasets
• Distinguish between correlation and causation — figuring out whether two connected things actually influence each other, or just happen to change together
Examples of careers that use M212 concepts: actuarial science, engineering, public health, and environmental sciences.
Associated Badges
Prerequisites for This Badge
Badges This Is a Prerequisite For
Learning Goals
Content & Practice Expectations
Each badge framework describes the mathematics skills and understandings that students will need to demonstrate to earn each badge through a set of Content & Practice Expectations (CPEs).
Alignment Guidance
Guidance for aligning badge standards (CPEs) to your existing curriculum and mathematical standards can be found in the documents shared below.
Assessments
Introduction to Badge Assessments
This document provides an overview of the different badging forms of assessment.
Performance Assessments
Each task has a teacher guide, scoring guidance, and student versions (docx format) in English and Spanish.
Portfolio Resources
A portfolio of evidence consists of student-produced artifacts that demonstrate proficiency against a badge’s CPEs. The portfolio development process involves students selecting and reflecting on artifacts that showcase their understanding of badge CPEs, followed by iterative teacher review and student-teacher conferencing until the work demonstrates proficiency.
Professional Learning Resources
Download a sample Professional Learning presentation for this badge that you may copy and customize to suit your needs. When available, samples of student work are provided for discussion.