The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
Listed in Teaching Materials | resource by group Make Teaching with R in Undergraduate Biology Less Excruciating
This lesson centers around comparing the survivorship of two groups using a life table derived from tombstone information. Students will work through calculating some elements by hand via a worksheet alongside working in R. This swirl lesson goes step-by-step to show students how to do basic data manipulations, graphing, visual inspection of the data, and statistical tests as they work an example dataset with respect to a given hypothesis (whether males and females have the same life history curve). Students are then expected to repeat the coding steps they learned in R to test a hypothesis of their own.
- Final Swirl Lesson Plan for Population Demography_v2.pdf(PDF | 13 KB)
- Population_Demography.swc(SWC | 320 KB)
- Population Demography Worksheet.pdf(PDF | 175 KB)
- Results Grading Rubric_student.pdf(PDF | 117 KB)
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Cite this work
Researchers should cite this work as follows:
- Emily Weigel (2019). Population Demography in Swirl. Make Teaching with R in Undergraduate Biology Less Excruciating, (Version 3.0). QUBES Educational Resources. doi:10.25334/H2QK-FD50
Please feel free to adapt this for use with other cemetery, longevity, or death datasets, provided that you are always respectful of the people your data represent.
Version 2.0 reorders the lessons and has code to get around package-dependences. Also, based on field tests, the lesson plan now includes code to help students with computer-specific issues on package installation found to be specific to Macs/Linux systems.
Version 3.0 builds on the last version by adding in commands which ensure matrices are built correctly in the newest packages. This version also adds a warning to examine the data within a generated matrix, specifically regarding 0's in comparison groups which can cause errors in running chi square and G-test functions in edge cases.
Make Teaching with R in Undergraduate Biology Less Excruciating
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