Google Data Analytics Professional Certification Practice Test

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What is the purpose of random sampling?

To ensure every member has a chance to be selected
To select the largest possible sample size
To replicate data accurately
To minimize data integrity issues

The correct answer is: To ensure every member has a chance to be selected

The purpose of random sampling is to ensure that every member of a population has an equal chance of being selected for the sample. This technique is essential in the field of data analysis and statistics because it helps to eliminate bias and allows for a more accurate representation of the population. By randomly selecting participants, the resulting sample is likely to reflect the diversity and characteristics of the broader population, which enhances the validity of inferences that can be drawn from the data. Selecting the largest possible sample size, as suggested in one of the choices, while beneficial in certain contexts, is not the primary purpose of random sampling itself; rather, it is about the method of selection without bias. Replicating data accurately pertains more to the methods of data collection and analysis rather than the sampling process. Lastly, while minimizing data integrity issues is certainly a consideration in data management, it is not inherently related to the concept of random sampling specifically, which focuses on the chances of selection rather than the integrity of the data collected.