Start learning 50% faster. Sign in now
The distinction between random and non-random sampling lies in how samples are selected from a population. Random sampling relies on chance, giving every individual an equal opportunity to be chosen, which minimizes selection bias and enhances representativeness. In contrast, non-random sampling does not ensure each member has an equal chance of selection and often involves judgment or convenience, leading to a higher risk of bias. Random sampling methods like simple random sampling or stratified sampling are thus preferred for studies requiring generalizable results, while non-random sampling is sometimes used for exploratory research where representativeness is less critical. The other options are incorrect because: • Option 1 confuses judgment with randomness; judgment sampling is a non-random method. • Option 2 reverses definitions, as random sampling, not non-random, ensures equal chance. • Option 3 is inaccurate; both sampling types are used in qualitative and quantitative research, depending on goals. • Option 5 is misleading, as time required varies by method specifics, not by randomness alone.
Which scheme supported the development of the "Rangeen Machhli" app?
Which state contributed the highest share to India’s total meat production during 2023-24?
Under which scheme is the Recirculatory Aquaculture System (RAS) promoted?
“Hidden hunger” means:
Farmers can prevent and slow down soil erosion by
Cell division continues till maturity in fruit development of
All India Soil Survey and Land Use Organization was established in:
Yellow vein mosaic of bhindi is caused by a
Arrangement of soil particles is referred to as:
What is the Minimum Support Price (MSP) for wheat in the year 2025-26?