EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -c) Free from personal biases of the investigator.

Detailed explanation-2: -Random sampling ensures that results obtained from your sample should approximate what would have been obtained if the entire population had been measured (Shadish et al., 2002). The simplest random sample allows all the units in the population to have an equal chance of being selected.

Detailed explanation-3: -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. Selection of a unit cannot affect the selection of another unit.

Detailed explanation-4: -The primary types of this sampling are simple random sampling, stratified sampling, cluster sampling, and multistage sampling.

Detailed explanation-5: -Random sampling is also called: Probability sampling.