UGC NET Questions (Paper – 1)

Inference is the process of drawing conclusions about population parameters based on information obtained from sample statistics. It involves estimating parameters, constructing confidence intervals and conducting hypothesis tests. The strength of inference relies on sampling design and adherence to statistical assumptions. Because the stem refers to generalising from sample statistics to population parameters, inference is the correct term.

Option A:
Descriptive analysis summarises data from the sample using measures like mean, median and standard deviation without extending conclusions to the wider population. While important, description alone does not perform the generalisation mentioned in the stem. Thus, description is not the right answer.

Option B:
Inference uses probability theory to quantify the uncertainty associated with estimates and decisions about hypotheses. It enables researchers to state how likely it is that observed patterns reflect true population characteristics rather than random variation. This aligns closely with the stem, confirming inference as the appropriate completion.

Option C:
Editing refers to checking raw data for completeness, consistency and accuracy before analysis. It is a data-cleaning step and does not itself involve making generalisations. Therefore, editing does not fit the description in the question.

Option D:
Tabulation arranges data in tables of rows and columns to facilitate examination and analysis, but it does not inherently perform the leap from sample to population. It is more a preparatory step for descriptive and inferential procedures. Hence, tabulation is not the correct term here.