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Statistical Modeling with R

General

Prefix

STAT

Course Number

325

Course Level

Undergraduate

Department/Unit(s)

Mathematics & Statistics

College/School

College of Science and Engineering

Description

An introduction to R, R Studio, and R Markdown. R programming basics; R packages; descriptive statistics and graphics; statistical inference; statistical modeling; simulation and resampling methods.

Prerequisites

Credits

Min

3

Max

3

Repeatable

No

Goals and Diversity

MN Goal Course

No

Cultural Diversity

No

Learning Outcomes

Outcome

Students will be able to use R and R Markdown to write well documented code.

Outcome

Students will be able to use R to manipulate and summarize data.

Outcome

Students will be able to use R to create useful graphical summaries of data.

Outcome

Students will be able to use R for basic statistical modeling of data.

Course Outline

Course Outline

An introduction to the R language, RStudio, and R Markdown. 15% Graphical and numerical summaries of data with R. 15% Basic statistical inference with R. 15% Regression methods with R. 20% Analysis of variance with R. 20% Simulation and resampling with R. 15% An introduction to the R language, RStudio, and R Markdown. 15% Graphical and numerical summaries of data with R. 15% Basic statistical inference with R. 15% Regression methods with R. 20% Analysis of variance with R. 20% Simulation and resampling with R. 15%

Dependencies

Courses

STAT325 is a prerequisite for:

Programs

STAT325 is a completion requirement for: