Google Data Analytics Professional Certification Practice Test

Which of the following best defines quantitative data?

1. Descriptive and subjective data

2. Numerical and objective measures

3. Data that requires interpretation

4. Data collected from surveys and interviews

The correct answer is: Numerical and objective measures

Quantitative data is characterized by its reliance on numerical values and objective measures, making it ideal for statistical analysis. This type of data is generally gathered through measurable phenomena and is often used to quantify variables in a way that facilitates easy comparison and mathematical manipulation. Because quantitative data can be measured and expressed numerically, it can be used to identify trends, test theories, and make predictions. In contrast, descriptive and subjective data does not fit the quantitative definition as it involves qualitative insights that are more interpretive in nature. Data requiring interpretation refers to qualitative data that may be influenced by personal perspectives and should not be considered objective. Lastly, while data collected from surveys and interviews can include quantitative elements, they also often encompass qualitative data, meaning this definition does not solely indicate quantitative data. Therefore, the best definition of quantitative data is indeed that it consists of numerical and objective measures.