EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -If each observation is selected randomly, then the sample will naturally reflect the qualities of the population. Thanks to this quality of probability, researchers are able to understand large populations by sampling small groups from the population.

Detailed explanation-2: -The advantages of a simple random sample include its ease of use and its accurate representation of the larger population. In this method, all the units of the sample have equal chance of selection. It is an unbiased method of selection.

Detailed explanation-3: -Sampling is defined as a technique of selecting individual members or a subset from a population in order to derive statistical inferences, which will help in determining the characteristics of the whole population.

Detailed explanation-4: -Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group. Non-probability sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data. 19-Sept-2019