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Exercise

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

Instructions 1/3

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  • 1
    • Plot the distribution of the chickens' weight using the kernel density estimation (KDE) to visualize normality.
  • 2
    • Create a qq plot with a standard line of the chickens' weight to assess normality visually.
  • 3
    • Subset chicken_data for a 'Time' of 2, and plot the KDE of 'weight' from subset_data to check if data is normal across time.