What is Statistical Sampling & Why it Is Important?

What is Statistical Sampling

Statistical Sampling is the process of selecting a small subsets called the sampling units or units from the target population.

WhY Sampling Is important

1. To reduce the population to a size that can be controlled 2. To cut costs 3. To assist in reducing inaccuracy caused by pessimism brought on by a huge population. 4. Sampling enables the researcher to overcome the time constraint.

Types of Sampling 

1. Probability Sampling

2. Non-Probability Sampling

1. Probability Sampling 

With this approach, we can choose a number of unique samples, give each one a varied probability, and utilise a technique to estimate the sample attributes.

2. non- Probability Sampling 

There is no aspect of random selection used in this sort of sampling. But these approaches aren't flexible.

Why Is Sampling Important for Researchers?.

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Save Time

i

Obtaining a sample is much quicker than surveying the entire population, and non-random sampling is nearly always more expedient.

Obtaining a sample is much quicker than surveying the entire population, and non-random sampling is nearly always more expedient.

Save Money

ii

With this approach, we can choose a number of unique samples, give each one a varied probability, and utilise a technique to estimate the sample attributes.

With this approach, we can choose a number of unique samples, give each one a varied probability, and utilise a technique to estimate the sample attributes.

Collect Richer Data

iii

Compared to contacting every member of a population, sampling enables researchers to ask participants more questions and collect better data.

Compared to contacting every member of a population, sampling enables researchers to ask participants more questions and collect better data.