STA 6093 Introduction to Applied Statistics for Agricultural and Life Sciences
Description
This course provides students with a conceptual and practical understanding of the application of statistics in the agricultural and life sciences. This is an online course that will use a combination of lectures, programming demonstrations, data exercises using the programming language R, group activities, and primary literature to teach introductory statistics at the graduate level. This course is NOT a “go at your own pace” course. Each module must be completed in a specific week (see Course learning objectives in Syllabus).
Prerequisites
None
Course Format
Course format is 100% online. Students watch lectures online and complete assignments, quizzes and finals, all online. Most of the course is about learning the R program language.
Course Goals
- Learn the programming language R
- Familiarize students with the foundations of statistical analysis
- Teach students basic statistical analysis and data management
- Prepare students for advanced statistics courses they will take throughout their graduate career
Topics
Week | Module |
1 | Broad overview of statistics |
2 | Reproducible science / R |
3 | Knowing your data and Summary Statistics |
4 | Visualizing your data and graphing your results |
5 | Random variables and probability distributions |
6 | Hypothesis testing |
7 | Linear models |
8 | T-tests |
9 | ANOVA |
10 | Simple regression |
11 | Multiple regression |
12 | Categorical data analysis |
13 | Monte Carlo tests |
14 | Future classes/analyses |