DIFFERENCE BETWEEN PROBABILITY AND NON-PROBABILITY SAMPLING METHOD-

1. The probability sampling method, each has an equal opportunity to get selected as the close representative of the population for the analysis. Whereas, in non-probability sampling, all individuals are not given equal opportunity to be a part of the sample.

2. The final results of probability sampling may not be biased or influenced, but results of non-probability sampling may be biased.

3. In Probability sampling, a pre-generated hypothesis is tested, whereas, in non-probability sampling, a hypothesis is generated.

PROS AND CONS OF PROBABILITY SAMPLING METHOD-

1. It gives the fair and significant precision results as it provides all the individuals equal opportunity to be a part of the sample. So it makes the probability sampling method more reliable.

2. Probability sampling is a very complex process as it requires a high level of skills and knowledge to analyze the results. Thus it is a time-consuming process.

PROS AND CONS OF NON-PROBABILITY SAMPLING METHOD-

1. The non-probability sampling methods can be even used for sampling process, wherein probability sampling cannot be used. It is time and cost effective because only close representatives are selected for the analysis.

2. In non-probability sampling, all individuals do not get the chance to be part of the sample. So the selection of a sample may lead to biases. Probability method is more preferred over non-probability method because the results from probability sampling can be generalized as it has information from the entire population. In non-probability sampling method, the results are less reliable than probability sampling results.

Probability method is more preferred over non-probability method because -the results from probability sampling can be generalized as it has information from the entire population. In non-probability sampling method, the results are less reliable than probability sampling results.