The course will be using JupyterLab Notebooks to support statistical concepts for Introductory Statistical Methods for Engineering. This GitHub repository will hold these Jupyter Notebooks.
- Python Review
- Significant Digits
- Tutorials 1 through 9
- Enrichment Tutorials throughout and as stand-alone topics
Click on the BinderHub launch here for a cloud service that allows users to share reproducible and interactive computing environments from code repositories.
For more information on BinderHub visit https://mybinder.org/.
This course has its foundation in Statistics for Engineering courses at McMaster University by Kevin Dunn, who has a supporting website at Process Inprovement Using Data: https://learnche.org/pid/. This website has many resources that can be accessed.