Which statement regarding qualitative and quantitative data is accurate?

The statement that quantitative data is less open to interpretation than qualitative data is accurate because quantitative data is typically derived from measurements and calculations that produce numeric results. This type of data is often analyzed using statistical methods, which provide clear, objective findings that can be easily compared and validated. For example, when measuring the number of rounds played at a golf facility, the data can be presented as a specific numerical figure, allowing for straightforward analysis of trends over time.

In contrast, qualitative data, which encompasses descriptive information and subjective assessments, can lead to varying interpretations depending on the perspective of the individual analyzing it. This data might include participant feedback or observational reports, which can be influenced by personal opinions or biases, leading to less consistent conclusions across different analyses. The inherent nature of qualitative data makes it richer in context but also more complex to interpret.

The other statements do not accurately reflect the characteristics of qualitative and quantitative data, further enhancing the correctness of this chosen response.