Sampling Technique
Sampling has some advantages over complete counting. These are:
1. Need for sampling:
Sampling is sometimes required. Suppose we want to examine a company's eggs, bullets, rockets, and tires. The inspection may be such that the objects are destroyed during the inspection process.
Of course, we can't afford to destroy all the eggs and balls etc. We must ensure that waste is kept to a minimum. This is only possible in test studies. Therefore, sampling is essential when units under investigation are destroyed.
2. Save time and money:
Because the sample size is small compared to the population, the time and cost of sampling are much less than for full censuses. Huge funds are required for the full census. There is always the problem of finances. A small sample can be examined in a limited time, and the total cost of sample examination is very small.
For a complete census we need a large team of caretakers and accountants who must be trained and properly paid for their work. Therefore, the study of the sample requires less time and less cost.
3. Reliability:
When we collect information on all population units, the information collected may be true. But we are never sure of that. We do not know if the information is true or completely false. Therefore, we cannot say anything with confidence about the quality of the information.
We say that reliability is not possible. This is a very important benefit of sampling. Population parameters can only be inferred if sample data is collected from the selected sample.
4. Research work is carried out on the samples:
Sometimes experiments are carried out on a sample basis. Fertilizers, seeds, and medicines are first tested on samples and, if beneficial, spread over a large area. Most of the research work is done on the samples.
5. Accuracy:
Sample data is also used to verify the accuracy of the census data.
6. Advanced statistical techniques:
Advanced statistical techniques can be used with survey software to analyze survey data and determine validity, reliability, and statistical significance, including the ability to analyze multiple variables.
7. Wide range of data:
A wide range of data can be collected (eg attitudes, opinions, beliefs, values, behavior, facts).
8. Standardized surveys:
Standardized surveys are relatively free of various types of errors.
9. Tested by sample of pears:
It allows you to test properties that would not otherwise be determined. Think about the life of the bulbs, the force of the springs, etc. Since testing all bulbs of a certain brand requires destruction of the products, only a random sample of bulbs can be tested.
10. Allows better monitoring of data collection:
The sampling method is limited to a limited number of respondents. Of course, it is possible to effectively monitor and control the data collection work. This improves the quality of the data collected.
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