College Statistics

Builds data literacy, analytical reasoning, and applied statistical skills for college-level success and real-world problem-solving.

College students studying statistics with charts, graphs, and data visualizations, working collaboratively to interpret results and build analytical skills.

College Statistics

Overview
College Statistics builds quantitative reasoning and data literacy for real-world decision-making. Students learn to interpret data, understand variability, and evaluate evidence using probability, sampling, and inference. Emphasis is on practical understanding—why statistical tools work and how to apply them confidently across disciplines.

Core Topics
• Descriptive statistics and data visualization
• Probability, sampling, and the Central Limit Theorem
• Confidence intervals and hypothesis testing
• Correlation, regression, and model interpretation
• Applied projects using real datasets

Approach
Sessions combine short lessons, guided examples, and applied exercises using authentic data. Students compute by hand for understanding and verify with Excel or Google Sheets. Instruction prioritizes reasoning and interpretation over memorization.

Format
Held twice weekly (up to 90 minutes) at Hunter Ridge, Mahomet, IL. Offered one-on-one or in small groups of up to four students, aligned with each learner’s college course or syllabus.

Outcomes
Students learn to summarize data, perform hypothesis tests, interpret regression results, and think critically about quantitative information in today’s data-driven world.