Visual normality in an agricultural experiment
You have been contracted by an agricultural firm conducting an experiment on 50 chickens, divided into four groups, each fed a different diet. Weight measurements were taken every second day for 20 days.
You'll analyze chicken_data to assess normality, which will determine the suitability of parametric statistical tests, beginning with a visual examination of the data distribution. The necessary packages for analysis have been imported for you:
import seaborn as sns
import pandas as pd
from statsmodels.graphics.gofplots import qqplot
This exercise is part of the course
Experimental Design in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot the distribution of the chickens' weight
sns.____(data=____, x='____', kind="____")
plt.show()