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Mathematics & Data Science · 🏫 Southern Methodist University

SMU Summer Start - Introduction to Statistical Methods (STAT 2331)

Incoming first-year students can earn college credit and gain confidence in a college-level statistical methods course online before their fall semester begins.

🔥 Middle School 🕒 5-week Pre-College Program Online Beginner-friendly
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About this camp

The SMU Summer Start - Introduction to Statistical Methods (STAT 2331) is an online pre-college program designed for incoming first-year students. This non-calculus based course provides an introduction to fundamental statistical concepts and techniques essential for collecting, analyzing, and interpreting quantitative information. Students will gain practical skills in descriptive statistics, elementary probability theory, confidence intervals, and hypothesis testing. The course emphasizes the proper use of data for decision-making and interpreting study results, with a focus on using graphical and numerical statistical methods. Participants will also learn to utilize Excel for statistical analysis, preparing them for college-level coursework and future employment requiring data interpretation.

Activities include lectures, homework assignments, and laboratory sessions where students will receive instruction in Excel and engage in data collection and analysis. The course aims to develop students' ability to solve problems using statistical methods and interpret inferences from mathematical models, data, graphs, and formulas. No prior knowledge of statistics is required, making it accessible to students looking to build a strong foundation in the subject.

What a typical day looks like

A typical day involves lectures, followed by laboratory sessions focused on using Excel for statistical analysis and engaging in data collection activities.

Best suited for

This program is best for incoming first-year students seeking to earn college credit and build a foundational understanding of statistical methods before starting their fall semester.

What you'll learn

Descriptive statistics Elementary probability theory Confidence intervals Hypothesis testing Simple linear regression Statistical analysis using Excel

Location

Virtual

Sponsored · Research Ignited

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