Basic Statistics
Author(s): Emily Weigel1, Alycia Lackey2
1. Georgia Institute of Technology 2. Binghamton University
1235 total view(s), 716 download(s)
Summary:
The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
Contents:
Basic Statistics Lesson Plan.pdf(PDF | 12 KB)
Basic_Stats.swc(SWC | 79 KB)- Choose Statistical Test_key_v5.pdf(PDF | 629 KB)
- Choose Statistical Test_student_v5.pdf(PDF | 621 KB)
- License terms
Description
This lesson centers around introducing 4 fundamental statistical tests used in biology: correlations, t-tests, ANOVAs, and X2 (chi-square) tests. Students will first work through a worksheet to identify when each test should be conducted and what the appropriate research hypothesis would be for each experiment. Students then turn to swirl to dig into statistical hypotheses in the context of these scenarios to run and interpret statistical analyses in R.
Learning objectives:
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Notes
Correction of a minor typo in the guiding text of the lesson.
Cite this work
Researchers should cite this work as follows:
- Emily Weigel, Alycia Lackey (2020). Basic Statistics. Make Teaching with R in Undergraduate Biology Less Excruciating, (Version 1.1). QUBES Educational Resources. doi:10.25334/ZGZJ-7N56