Apply an ANOVA test on supp and dose to check whether the len isdiffers with supp and/or with dose. we will have to compare betweenOJ and VC. also, 0.5, 1.0, and 2.0. and we will use res =st.f_oneway(vector1, vector2) to apply ANOVA. before doing that wewill have to prepare and filter the data (according to dose orsupp) then putting the data in new variable)

len	supp	dose
2.4	OJ	0.5
3.5	VC	1.0
3	OJ	0.5
5	VC	2.0

import numpy as np

import pandas as pd

import scipy.stats as st

import matplotlib.pyplot as plt

import os

%matplotlib inline

Answer the following questions by providing Python code:

We will use the dataset "data_ToothGrowth.csv".

• len = teeth length.
• supp = supplementary type with two possible values: VC (vitaminC) or OJ (orange juice).
• dose (mgr/day) = dosage per day with three possible values:0.5, 1.0, 2.0.

df = pd.read_csv('data_ToothGrowth.csv', header='infer')

1). Perform the EDA and ANOVA (?= 5%) with the 'supp'variable.
Summarize the result.

i) # Categories of 'supp'.

ii)

# Group by category.

iii)

# Multiple Boxplots.

iv)

# ANOVA.

iiv)

# Result summary.

2). Perform the EDA and ANOVA (?= 5%) with the 'dose'variable.
Summarize the result.

i)

# Categories of 'dose'.

ii)

# Group by category.

iii)

# Multiple Boxplots.

v)

# ANOVA.

iv)

# Result summary.

Answer by using Python