A proportion of the population is taken and then conclusions are made about the entire population.

• A. Descriptive statistics
• B. Data capture
• C. Inferential statistics
• D. Univariate data

Answer: (C)

Making conclusions about a whole population from a sample is the essence of inferential statistics. It uses information gathered from a subset to estimate characteristics of the entire group and to judge how confident we can be in those estimates, often with margins of error, confidence intervals, or hypothesis tests. This is different from descriptive statistics, which only describes the sample itself. Data capture is about collecting the data, not the analysis, and univariate data refers to data with a single variable, not the idea of drawing general conclusions. So the scenario described fits inferential statistics because it involves generalizing findings from a sample to the entire population with an awareness of uncertainty.