Quantitative Literacy Practice Exam 2025 – Comprehensive Preparation Guide

The correct choice is quantitative data, which refers to information that can be counted or measured. This type of data is represented in numerical form and allows for statistical analysis. For example, when measuring height, weight, or temperature, the results are quantitative because they involve numbers that can be objectively analyzed, allowing for conclusions to be drawn based on the data collected.

In contrast, qualitative data refers to non-numerical information that describes qualities or characteristics. It includes subjective assessments and can involve categories, such as colors, names, or opinions, which cannot be measured in a straightforward numerical way.

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making. It does not specifically refer to the type of data being used.

Descriptive research refers to a research method that aims to describe the characteristics of a phenomenon or a population, which may use both qualitative and quantitative data but is not exclusively about data that can be counted or measured.

Thus, the focus on measurable or countable information distinctly classifies quantitative data as the correct answer.