[USER (data scientist)]: Awesome, now let's do an ANOVA test to see if there are any significant differences between these groups. Please generate the code with the output in [value, value] type.
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, access_dataframe_loc, access_dataframe_loc, logical_and, filter_by_condition, check_elements_in_list, fetch_column, f_oneway

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")  
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE 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:

# MY SOLUTION BEGIN:
