question, either a bar graph or a scatter graph (Figure 9). They also
needed to select the most appropriate statistical test, either a t-test
or a Spearman correlation. The Python code given required input
of the correct variables, as with the previous questions, and resulted
in a P-value to be interpreted in the lab report.
The capstone of these lab exercises and the entire ecology module was a written lab report in the form of a mini–scientific paper.
In this report, students used the output of the Jupyter Notebook to
report data and reflect back on their original hypotheses. The report
included introduction, methods, results/discussion, and conclusion
Figure 8. Screenshot of data analysis to generate P-values. Students were instructed to complete the computer code with their
variable of choice, and select the appropriate test based on the assessment of normality completed in the earlier cells.
Figure 9. Screenshot of data analysis cells for question 3. The first question option is shown here. Students were instructed to
select the appropriate graph and statistical test and modify the code as needed to fit the selected question.