Course title

Integrated Statistics and Quantitative Reasoning (ISQR)

Pre-requisite

Algebra 2

Course description

This integrated statistics and quantitative reasoning (ISQR) course framework describes a course that integrates quantitative, algebraic, statistical, geometric, and data literacy concepts and strategies to empower students to live skillfully and productively in our data-driven society. Integrating these disciplines gives students a more realistic picture of how these concepts and strategies are used to approach problems. This approach pulls together all of the available tools and resources to tackle different parts of the task to reach a more comprehensive solution. As students engage with course content and identify issues in their worlds to explore, they will approach solutions from multiple perspectives. Students will compare and contrast mathematical and statistical approaches to problem solving, which will enable them to develop a deeper understanding of the benefits and challenges of each approach. Through an ISQR course modeled on this framework, students will have multiple opportunities to develop a level of statistical thinking that is not a part of a traditional quantitative reasoning course. Students will also be exposed to mathematics concepts essential for civic and financial literacy that are covered in a quantitative reasoning course but not typically covered in a statistics course. The modern practice of mathematics and statistics necessitates the use of computing and software. It is not reasonable to rely entirely on a graphing calculator or Excel, as this ISQR course focuses on learning from real data and authentic contexts, exploring multivariable relationships, and communicating results through a variety of data visualizations. The design of this course should incorporate the use of a statistics software or readily accessible statistics applications. Successful completion of ISQR signals readiness for continued study in any secondary or postsecondary mathematics pathway (algebraic, statistics, quantitative reasoning, or data science). -Excerpt from The ISQR Framework (University of Texas at Austin – Dana Center)

School Country

United States

School state

Arizona

School city

Mesa

High school

Dobson High School Mesa High School Mountain View High School Red Mountain High School Skyline High School Westwood High School

School Address

549 N Stapley Dr

School zip code

85203

Requested competency code

Math

Date submitted

Approved

Yes

Approved competency code

  • MTHA
  • 4 years of Math

Approved date

Estimated grade level

12th

Online / Virtual

No