Subject Area
Class Calendar Length
Year Long
Grade Levels
11, 12
Prerequisites
Algebra II
Seats Available
10-15
Class Schedule
Mon.-Fri. 10 to 10:47 am
Dual Enrollment
3 college credits (American International College)
Course Description
Students will go beyond simple numbers to discover meaningful patterns, trends, and relationships within real-world data sets, mastering the core methods used by modern researchers and data scientists. The curriculum comprehensively covers probability distributions, statistical simulations, and the critical reasoning required to justify complex empirical claims. By the end of the term, students will possess the essential technology skills and analytical depth needed to draw sound, evidence-based conclusions from any complex data set.
This rigorous, college-level mathematics course prepares students for complete success on the official AP exam through an engaging experience-first approach to modern data analysis today and tomorrow.
Key Outcomes
- Execute advanced data analysis and interpretation of quantitative variables.
- Master the use of statistical technology to perform simulations and inferences.
- Construct sound statistical arguments based on random processes and surveys.
Mass. State Standards
- S-ID.A–C: Data Interpretation (Summarizing categorical and quantitative data)
- S-IC.A–B: Statistical Inference (Evaluating random processes and conclusions)
- S-CP.A–B: Probability (Independence and conditional probability)
About the Instructor
Kelsey Felder is a veteran mathematics educator at Codman Academy, where she has spent the past eight years teaching various subjects, including Algebra, Precalculus, AP Statistics, and AP Calculus. She holds a BA in History and English from Texas A&M University-Kingsville and a Master’s in Russian, East European, and Eurasian Studies. Currently pursuing a PhD in Russian History at Brandeis University, she brings a unique interdisciplinary perspective to her math classroom.
Beyond her teaching, Kelsey is an avid marathon runner who is deeply passionate about creating a welcoming, student-centered environment where every single learner feels fully empowered to master data.