ONE WAY RAW DATA

import pandas as pd
import seaborn as sns
import statsmodels.api as sm
from statsmodels.formula.api import ols

tips=sns.load_dataset('tips')
tips

model=ols('total_bill~day',data=tips).fit()
one_anova_table=sm.stats.anova_lm(model,typ=1)
print("\n One way anova result based on day and time:")
print(one_anova_table)

p_val=0.042454

if p_val1>0.05:
    print('Accept H0')
else:
    print('Reject H0')