STAT 4310 - Stat Methods

Undergraduate introductory statistics covering a variety of important statistical concepts and analyses, including data collection, summarizing data, probability, estimating parameters, testing hypotheses, simple linear regression, and ANOVA. The methods learned in this class underpin most important areas of statistics for scientific research and for future statistics and data-oriented classes. (~30 students) Taught in Spring 2026.

Course Objectives – after this course, you will be able to:

• Identify good/bad methods of data collection and associated challenges.
• Summarized data numerically and graphically.
• Use probability distributions to make inferences for populations means, variances, proportions, goodness-of-fit, and independent of two variables.
• Model associations between two variables using ANOVA and Regression
• Perform basic statistical procedures using R.

Textbook: An Introduction to Statistical Methods and Data Analytics, 7th edition, by Ott and Longnecker (ISBN 978-1305269477).