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When it comes to data cleaning verification, which of the following statements is true?

a) There is a universal checklist applicable to all projects.
b) Each project has unique requirements, making a one-size-fits-all approach suitable.
c) Data cleaning verification follows a standardized procedure for all projects.
d) The uniqueness of each project necessitates a tailored approach to verification.

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Final answer:

The correct answer is d) The uniqueness of each project necessitates a tailored approach to verification. This ensures accuracy and adherence to ethical guidelines. A one-size-fits-all approach to data cleaning verification is not applicable given the unique aspects of each project.

Step-by-step explanation:

When it comes to data cleaning verification, the correct statement is d) The uniqueness of each project necessitates a tailored approach to verification. There isn’t a universal checklist for data cleaning that is applicable to all projects because each dataset may have its own specific issues and requirements. Therefore, a one-size-fits-all approach is not suitable. Creating a tailored approach helps ensure that the data is cleaned and verified with the utmost accuracy. This involves using a tool when necessary to make the measuring more precise, ensuring findings are backed by empirical evidence, and following a code of ethics that fosters responsible and ethical scholarship.

For instance, when conducting a case study, which is an in-depth analysis of a single event, situation, or individual, it is crucial to understand that the results might not be generally applicable. Similarly, when analyzing the results of an experiment, the control group must be identical to the test group except for one variable to draw valid conclusions about dependent variables. These examples emphasize the need for meticulous and customized approaches to data verification across different projects.

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