[USER (data scientist)]: You're right, I apologize for the confusion. Unfortunately, I don't have a dataset with digital service usage patterns at the moment. Let's skip this question and move on to the next one. 

For the third question: Are there any significant differences in digital service preferences between younger customers (aged 18-35) and those with a good credit history compared to other customer segments? Please provide statistical tests (e.g., chi-square test, t-test, or ANOVA) to compare digital service preferences between the specified customer segments. 

Since we don't have digital service preferences data, let's modify the question to focus on the relationship between age, credit history, and credit amount. Are there any significant differences in credit amount between younger customers (aged 18-35) and those with a good credit history compared to other customer segments? Please provide statistical tests (e.g., t-test or ANOVA) to compare credit amounts between the specified customer segments. 
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)]:No problem! We can modify the question to focus on the relationship between age, credit history, and credit amount. To determine if there are any significant differences in credit amount between younger customers (aged 18-35) with a good credit history and other customer segments, we can perform an ANOVA test. Here's the code to perform the test:

# MY SOLUTION BEGIN:
