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
Deze oefening maakt deel uit van de cursus
Experimental Design in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Run a Shapiro-Wilk normality test on the weight column
test_statistic, p_value = ____
print(f"p: {round(____, 4)} test stat: {round(____, 4)}")