Grassy Narrows and Muskrat Falls Dam: The Central Limit Theorem and a t-test
Author(s): Paul Miller
Everett Community College
637 total view(s), 876 download(s)
- Grassy Narrows and Muskrat Falls Dam Hypothesis Testing and t-Tests.docx(DOCX | 1 MB)
- Bonus Project 1.html(HTML | 6 KB)
- Grassy Narrows and Muskrat Falls Dam Hypothesis Testing and t-Tests.pdf(PDF | 2 MB)
- Bonus Project 2.html(HTML | 2 KB)
- Mercury Concentration.xlsx(XLSX | 5 KB)
- Tool to Create Random Sample with Images - Muskrat Falls.pptx(PPTX | 2 MB)
- https://globalnews.ca/news/5362345/mercury-grassy-narrows-government-inaction-un/
- https://www.youtube.com/watch?v=jVNJlPBjhFQ
- What's the deal with Muskrat Falls? Answers to a few frequently asked questions | CBC News
- https://youtu.be/MzKza4lP-uo
- Statistics Bonus Project - YouTube
- Bonus Project 1.html(HTML | 6 KB)
- Bonus Project 2.html(HTML | 2 KB)
- Mercury Concentration.xlsx(XLSX | 5 KB)
- License terms
Description
The module is divided into parts and can be done in-class, online, or as homework. There are areas where additional resources are provided for students/courses that need instructional material not provided in the case study. In addition, there are opportunities to expand particular sections for classes that would like to emphasize certain content areas. Overall, students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, p-value (and more) as they compare a given fish population for methylmercury levels (using real and hypothetical data) against real-world mercury standards in fish (in Canada). Additionally, students will be encouraged to research for themselves as well as have an open philosophical discussion at the close of the module.
In this version, two smaller assignments have been added that simulate the process of creating a sampling distribution of the sample mean and compare the empirical distribution to the sampling distribution as described by the Central Limit Theorem. In the second assignment, students are asked to perform the same one sample t-test that was presented in the original version.
This material is based upon work supported by the National Science Foundation under Grant No. 1919613. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Cite this work
Researchers should cite this work as follows:
- Miller, P. (2023). Grassy Narrows and Muskrat Falls Dam: The Central Limit Theorem and a t-test. QB@CC Fall 2022 FMN- Statistics and Biology: A Correlation Made in Heaven, (Version 2.0). QUBES Educational Resources. doi:10.25334/BXRZ-5189