Question: Q6. Compare the automatically approved cases and the automatically rejected cases. Conduct statistical tests on variables available in the dataset to answer the following subquestions.

 Q6. Compare the automatically approved cases and the automatically rejected cases.

Q6. Compare the automatically approved cases and the automatically rejected cases. Conduct statistical tests on variables available in the dataset to answer the following subquestions. (5 points) 1) Are they different in "loan_amount"? 2) Are they different in "tenor"? Are they different in "age"? 4) Are they different in "month_of_service"? 5) Are they different in "residential_status"? 6) Are they different in "monthly_income"? 7) Are they different in "bankrupted"? 8) Are they different in "currently_employed"? 9) Are they different in "channel"? 10) Are they different in "language"? 11) Are they different in "credit_score"? 12) Are they different in "friends_facebook"? 13) Are they different in "location_application"? Q7. Based on the analysis results above, provide the logic behind the decision engine to judge "approve". (2 points)

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