MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Accuracy is a crucial data quality characteristic because inaccurate information can cause significant problems with severe consequences. We’ll use the example above – if there’s an error in a customer’s bank account, it could be because someone accessed it without his knowledge.

Detailed explanation-2: -Accuracy refers to how close a measurement is to the true or accepted value. Precision refers to how close measurements of the same item are to each other. Precision is independent of accuracy.

Detailed explanation-3: -Data Accuracy Enables Better Decision Making If data quality is high, the users will be able to produce better outputs. This increases business efficiency and lowers risk in the outcomes. With reliable outputs, businesses can improve their entire decision-making process and easily mitigate any risks along the way.

Detailed explanation-4: -Data accuracy, as the essential standard of data quality, refers to the consistency of data with reality. Because more conformity means more accuracy, so the accurate data must reflect the information you require. This also means that the data is error-free and has a reliable and consistent source of information.

Detailed explanation-5: -Definition. Data Precision is the agreement among repeated measurements of the same variable. Better precision means less Random Error.