In scientific research, what does quantitative data represent?

• A. Descriptions and characteristics of phenomena
• B. Numerical information that can be measured
• C. Qualitative assessments based on opinions
• D. Non-numerical observations recorded during experiments

Answer: (B)

Quantitative data represents numerical information that can be measured and expressed using numbers. This type of data enables researchers to conduct statistical analyses, identify patterns, and derive conclusions based on empirical measurements. Examples of quantitative data include measurements of height, weight, temperature, or the number of organisms in a sample. The advantage of quantitative data is that it provides a clear, objective basis for comparison and further analysis, making it essential for experiments where measuring and analyzing numerical relationships is crucial for understanding the phenomena being studied.

Other options refer to types of qualitative data, which capture descriptive aspects and non-numerical observations, but these do not align with the nature of quantitative data, which is fundamentally based on numbers and measurable quantities.