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Population Demography in Swirl

Author(s): Emily Weigel

Georgia Institute of Technology

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Summary:
The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 15 May 2019 doi:10.25334/Q4XN08 - cite this Last public release: 5.0

Keywords

  1. data types
  2. assessment
  3. data science
  4. natural history
  5. Concept inventories
  6. bioinformatics
  7. synthetic biology
  8. concept inventory
  9. gene regulation
  10. microRNAs
  11. gene expression
  12. Role of bioinformatics
  13. Bioinformatics tools
  14. Data retrieval

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Contents:
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Description

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.

Learning objectives:

  1. Complete a prelab reading to familiarize themselves with the goals of the lesson and the background ecological information of life tables
  1. Practice calculations and what the numbers in a life-table mean; generate associated hypotheses
  1. Practice coding elements necessary to generate datasets and test hypotheses based on the data
  1. Apply the coding learned through swirl to their own hypothesis to answer whether two groups in their data have the same survivorship

 

Notes

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.

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