Intro-Statistical Methods

Distributions, measures of central tendency, dispersion and shape, the normal distribution; experiments to compare means, standard errors, confidence intervals; effects of departure from assumption; method of least squares, regression, correlation, assumptions and limitations; basic ideas of experimental design. Enroll Info: None

Read More

Intro Applied Stats for Engrs

Descriptive statistics, probability concepts and distributions, random variables. Hypothesis tests and confidence intervals for one- and two-sample problems. Linear regression, model checking, and inference. Analysis of variance and basic ideas in experimental design. Enroll Info: None

Read More

Intro Applied Stats-Life Sci

Introduction to modern statistical practice in the life sciences. Topics include: exploratory data analysis, probability and random variables; one-sample testing and confidence intervals, role of assumptions, sample size determination, two-sample inference; basic ideas in experimental design, analysis of variance, linear regression, goodness-of fit; biological applications. Enroll Info: None

Read More

R for Statistics II

Provides an understanding of the commonly used statistical language R. Topics will include writing conditional expressions, loops, and functions; manipulating data matrices and arrays; extracting data from text; and making high level visualizations of data. Enroll Info: None

Read More

Intro to Data Modeling I

Introduces students to reproducible data management, modeling, and analysis through a practical, hands-on case studies approach. Topics include the use of an integrated statistical computing environment, data wrangling, the R programming language, data graphics and visualization, random variables and concepts of probability, data modeling, and report generation using R Markdown with applications to a wide variety of data to address open-ended questions. Enroll Info: None

Read More

R for Statistics I

An understanding of the commonly used statistical language R. Topics will include using R to manipulate data and perform exploratory data analysis. Enroll Info: None

Read More