Analytical normality in an agricultural experiment
Carrying on from your previous work, your visual inspections of the data indicate it may not be a normal dataset overall, but that the initial time point may be.
Build on your previous work by using analytical methods to determine the normality of the dataset.
The DataFrame chicken_data has been read in for you, and the following package imports have been run already:
import pandas as pd
from scipy.stats import shapiro
from scipy.stats import anderson
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.
# Run a Shapiro-Wilk normality test on the weight column
test_statistic, p_value = ____
print(f"p: {round(____, 4)} test stat: {round(____, 4)}")