Now its time to discuss anything about sampling. But before you think you need to know “people.” In the statistical “population” is considered everything. For example if a company wants to manufacturing defects in the tables (your company) for all types of people existing in the store. The boxes can be up to 100, 1,000, 10,000 or more, depending on the size of the company. For some reason (see below), it is not possible to check all the boxes, so what could be better for defects is estimated to get the form indicating the total number of cases, and tests based on the looking for something on the conclusion of the whole population. So, before taking a job analysis of the sample is important to do.
You can check the entire population for the following reasons:
1. In the example above, so I think if we need now 10,000, and each field of about 1 minutes to check, ie we need a total of 10,000 minutes of testing for all contingencies.
2. At some point it may be possible for you in a few cases which can not be used again for review. For example, ice cream is to know in business, interested in the level of sugar in different areas. Well, in practice it is not possible to verify the amount of sugar in each area, because if we open ourselves, we can use it again. In other words, we can not ignore the cost factor in this case. Thus, when the ice when the single box, you do not need to sell something.
There are many other reason, because it is impossible to examine the entire population. Therefore, the best way to select a few examples of the population.
Choosing a good example:
Now the question is how the sample?
Now there are a number of sampling methods are available, may be useful in different situations. They are:
Sampling
Systematic sampling
Stratified sample
Convenience sampling
Case sampling
Quota sampling
Snowball sampling
Cluster (area) sample
Multistage sampling
If you had to do business in network marketing for the last year or so, you probably have a popular technique for new customers is one called “
