Manpower CDC Practice Exam

The correct answer is that variation in data might increase due to data errors. When field measurements are taken, any inaccuracies or inconsistencies in the data collection process can lead to heightened variability in the results. This means that the data collected may show a wider range of outcomes, which can misrepresent the underlying phenomena being studied.

Data errors could stem from various sources, such as human error, faulty measurement tools, or environmental factors affecting readings. As these inaccuracies accumulate, they can create discrepancies that do not reflect the true characteristics of the population or phenomena under observation. Hence, one of the significant impacts of these data errors is an increase in the variation of the data, making it challenging to draw valid conclusions or to replicate results.

While variations in participant interaction, workshop costs, and data collection time can be influenced by many factors, they do not directly correlate with the consequences of data errors as strongly as data variation does. Inaccurate data compromises the reliability and validity of findings, and this variability can distort analyses and insights drawn from the data.