Course Overview

Statistics B is the second half of the Statistics sequence, focusing on probability, simulation, and statistical inference. Building on the skills learned in Statistics A, students apply statistical models to real-world situations, develop probability-based reasoning, and confirm models through formal inference techniques.

Key Learning Focus

Students will:

• Develop and use probability models to analyze uncertainty.
• Explore simulation as a method for predicting and modeling outcomes.
• Apply principles of statistical inference to draw and justify conclusions.
• Conduct complex statistical studies that involve data collection, analysis, and interpretation.

Instructional Approach

Students engage in hands-on projects and investigations, including:

• Designing and executing studies to test hypotheses.
• Using probability and simulation to model real-world systems.
• Applying inferential techniques to confirm or reject statistical claims.

Outcome

By the end of Statistics B, students will be able to confidently apply statistical reasoning to academic and professional contexts. This course prepares students for college-level statistics or AP Statistics, while also providing practical analytical skills relevant to careers in STEM, business, social sciences, and healthcare.