Paired t-test
Think back to the potato field example that we dealt with previously. Here, you've been provided with a small DataFrame (podataframe) containing information on 10 Fields. We are interested in potato yield in tons/hectare. For each Field, we have a value for its Yield2018, before the application of a new fertilizer, and its Yield2019, after the application of the new fertilizer. You'll need to perform two t-tests, a standard two-sample test, and a paired t-test. A paired t-test will control for the variation between fields. Do the two tests give the same result? scipy.stats is loaded as stats.
This exercise is part of the course
Performing Experiments in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Perform independent t-test
ttestind = ____
print(____)