[USER (data scientist)]: Awesome, now let's do an ANOVA test to see if there are any significant differences between these groups. Please perform an ANOVA test to compare the credit amounts across four groups based on young customer status and good credit history in the 'credit_customers' dataset, display the F-statistic and P-value.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import scipy.stats as stats
import pickle 
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print(f"F-statistic: {f_statistic}, P-value: {p_value}") 

# save data
pickle.dump(f_statistic,open("./pred_result/f_statistic.pkl","wb"))

# save data
pickle.dump(p_value,open("./pred_result/p_value.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: To perform the ANOVA test, you can use the following code:
'''
import pandas as pd 
import scipy.stats as stats
import pickle 
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
