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Sampling Design and Sample Selection

Project Info

Project Description

There are several ways to gather information about people. One way is to contact every person or nearly every person and ask them questions about what you need to know. Talking to everyone is called a complete enumeration and a national census is a good example of this type of information gathering. This is very costly because it takes a lot of people to talk to everyone. However, in cases such as a national census, it is necessary to have a complete enumeration despite the cost.

Another way to collect information is through a sample survey. When it is not necessary or possible to include everyone and have complete population numbers, a sample survey can collect information about people much more quickly and cheaply. The sampling procedure allows us to collect data on a smaller number of people and draw conclusions that are valid for the entire community, city, or country, depending on the representatives of the sample.

Since, the accuracy of a sample survey depends, among other things, on the size of the sample. The exact number to be interviewed for any survey is determined by statistical methods, we have one of the best Samplers in Nigeria, in our Team name Mr. Fasiku A. David.

The accuracy of a sample survey also depends on another major factor: the absence of bias that would affect the proportions found through the sample. Here in DRMC we try to control or prevent bias from creeping into the results, We ensure that the selection of people included in the sample must be absolutely random. This means that every person in the total population to be studied has the same opportunity to be selected in the sample.