The interpretation of quantitative data is less susceptible to differences of opinion than qualitative data.

The interpretation of quantitative data is indeed less susceptible to differences of opinion than qualitative data due to its objective nature. Quantitative data involves numerical values and statistical analysis, which can be measured and verified independently. This quantitativeness leads to more definitive conclusions, as numbers tend to provide clear evidence and trends that can be analyzed with precision.

In contrast, qualitative data is rooted in subjective interpretations and personal perceptions. It represents characteristics, qualities, and insights that can vary widely based on individual experiences or perspectives. This inherent subjectivity can lead to differing opinions regarding the meaning and implications of the data, as individuals may interpret the same qualitative data in multiple ways.

Thus, the objective nature of quantitative data limits ambiguity and personal interpretation, making it generally less susceptible to differing opinions compared to qualitative data.