Arlington Collegiate High School – Onramps Elementary Statistical Methods

Mar 2026 · 2nd Semester

Students develop the quantitative reasoning skills and habits of mind necessary to use data science and mathematical thinking effectively across multiple disciplines while learning the interactive applications and coding skills needed to meet the demands of higher education and the workplace. In this introductory statistics course, high school students have the opportunity to develop quantitative reasoning skills, broaden their knowledge of variability and statistical processes, connect data to real world situations, and develop the habits of the mind necessary to use data science and mathematical thinking effectively across multiple disciplines. This course will hone relevant mathematical and critical thinking skills through scaffolded learning experiences and statistical methodologies. Students will learn the foundations of data science by engaging in hands-on analysis of real data, methods to extract key insights, and coding skills aligned to the expectations of higher education and today’s workplace. Students will experience interactive applications built into the high-quality curriculum designed by the faculty at the University of Texas at Austin, allowing them to discover a more intuitive understanding of concepts. Collaborative problem-solving will be used to strengthen mathematical connections while individual depth of understanding will be reflected in regular assessments. Students can earn three hours of UT Austin credit with feedback and assessment provided by UT Austin course staff. Successful completion of this course earns college credit for UT SDS 302 or Math 1345 and high school credit for Statistics or Independent Study in Math if a student already has earned a Statistics credit.