Statical Modeling

This section of the website is designed to give you extra practice and support outside the classroom. Here, you’ll find resources to review concepts, step-by-step examples, and practice problems to help you grow more confident in applying what you’ve learned. Whether you’re preparing for a test, working on homework, or just want to sharpen your skills, these tools are here to help you succeed.

Statistical Modeling is a course designed to equip students with the tools and techniques needed to analyze data, interpret results, and apply statistical reasoning to real-world problems. The course emphasizes building and using mathematical models to describe patterns, test hypotheses, and make informed predictions. Students are introduced to topics such as probability distributions, regression analysis, analysis of variance (ANOVA), model selection, and diagnostic testing. Through hands-on practice with data sets and technology, students learn how to construct models, evaluate their accuracy, and communicate findings effectively.

As a push-in tutor, I provide in-class support by working directly with students to strengthen their understanding of statistical concepts, guide them through problem-solving strategies, and help them build confidence in applying methods to assignments and projects. My role is to reinforce instruction, clarify challenging ideas, and provide individualized assistance so that every student can succeed in mastering the course material.

Chapter 5: "Under Normal Circumstances" Resources