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Assertion: Credit scoring models are objective and unbiased in their assessment of a borrower's creditworthiness.
Reason: Credit scoring models use statistical algorithms that are designed to eliminate any potential biases or discrimination.
  • a)
    Both assertion and reason are true, and the reason is the correct explanation of the assertion.
  • b)
    Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
  • c)
    The assertion is false, but the reason is true.
  • d)
    Both assertion and reason are false.
Correct answer is option 'A'. Can you explain this answer?
Most Upvoted Answer
Assertion: Credit scoring models are objective and unbiased in their a...
The assertion that credit scoring models are objective and unbiased in their assessment of a borrower's creditworthiness is true, and the reason that credit scoring models use statistical algorithms that are designed to eliminate any potential biases or discrimination is also true. Credit scoring models are designed to be objective and fair, and are based solely on data and statistical analysis, which eliminates any potential biases or discrimination. Therefore, both the assertion and the reason are true, and the reason is the correct explanation of the assertion.
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Assertion: Credit scoring models are objective and unbiased in their assessment of a borrowers creditworthiness.Reason: Credit scoring models use statistical algorithms that are designed to eliminate any potential biases or discrimination.a)Both assertion and reason are true, and the reason is the correct explanation of the assertion.b)Both assertion and reason are true, but the reason is not the correct explanation of the assertion.c)The assertion is false, but the reason is true.d)Both assertion and reason are false.Correct answer is option 'A'. Can you explain this answer?
Question Description
Assertion: Credit scoring models are objective and unbiased in their assessment of a borrowers creditworthiness.Reason: Credit scoring models use statistical algorithms that are designed to eliminate any potential biases or discrimination.a)Both assertion and reason are true, and the reason is the correct explanation of the assertion.b)Both assertion and reason are true, but the reason is not the correct explanation of the assertion.c)The assertion is false, but the reason is true.d)Both assertion and reason are false.Correct answer is option 'A'. Can you explain this answer? for Banking Exams 2025 is part of Banking Exams preparation. The Question and answers have been prepared according to the Banking Exams exam syllabus. Information about Assertion: Credit scoring models are objective and unbiased in their assessment of a borrowers creditworthiness.Reason: Credit scoring models use statistical algorithms that are designed to eliminate any potential biases or discrimination.a)Both assertion and reason are true, and the reason is the correct explanation of the assertion.b)Both assertion and reason are true, but the reason is not the correct explanation of the assertion.c)The assertion is false, but the reason is true.d)Both assertion and reason are false.Correct answer is option 'A'. Can you explain this answer? covers all topics & solutions for Banking Exams 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Assertion: Credit scoring models are objective and unbiased in their assessment of a borrowers creditworthiness.Reason: Credit scoring models use statistical algorithms that are designed to eliminate any potential biases or discrimination.a)Both assertion and reason are true, and the reason is the correct explanation of the assertion.b)Both assertion and reason are true, but the reason is not the correct explanation of the assertion.c)The assertion is false, but the reason is true.d)Both assertion and reason are false.Correct answer is option 'A'. Can you explain this answer?.
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