UGC NET Questions (Paper – 1)

A sampling unit is the basic unit that can be selected for inclusion in the sample, such as an individual, household or school. It is the entity about which the researcher collects data. Clearly defining sampling units is essential for precise sampling and analysis. Thus, the element about which information is collected is correctly termed the sampling unit.

Option A:
Option A clearly names the sampling unit as the fundamental unit of selection and observation. It may coincide with the unit of analysis in many studies. Because the stem asks for the basic element from which data are collected, this option is correct.

Option B:
Sampling error refers to the natural discrepancy between sample statistics and population parameters due to observing only a subset. It is an error term and not the basic element itself. So it does not fit the description.

Option C:
Sampling ratio is the proportion of the population that is included in the sample. It is a statistic, not the element on which information is collected. Hence, this option is not appropriate.

Option D:
Sampling interval is the fixed distance between selected units in systematic sampling, such as every 10th name. It is a procedure parameter rather than the unit of data collection. Therefore, it is not the correct answer.

The population is the complete set of individuals, objects or events that meet specified criteria and about which the researcher wants to make inferences. Samples are drawn from this larger group to make the study feasible. Correctly defining the population is essential for valid generalisation of findings. Thus, the group described in the stem is known as the population.

Option A:
A sample is only a subset of the population selected for actual observation or measurement. While conclusions are often generalised from the sample to the population, the sample itself is not the entire group of interest. Hence, sample is not the best completion.

Option B:
A parameter is a numerical characteristic of a population, such as a population mean, and summarises information about it. It is not the group itself but a descriptor of it, so parameter does not fit the stem.

Option C:
Option C, population, emphasises that the researcher’s ultimate conclusions and generalisations are targeted at this larger universe, not just at the participants who were studied directly. This aligns precisely with the description given.

Option D:
A statistic is a numerical value calculated from sample data, such as a sample mean, and is used to estimate the corresponding parameter. It is not the entire group of elements, so statistic is not appropriate here.