To select the number of elements of the population that will form part of the simple random sampling, you can use the lottery method, a table of random numbers and the numbers generated randomly by a computer program, that is, at random.
Lottery method
The lottery method only works well with small sample populations, it is impractical for use with larger populations.
An example of the use of the lottery method would be the selection of a random sample from a group of 100 members. All the names are placed in a container and are taken out one by one until the sample size is sufficient.
Lottery system
When using the lottery system, numbers representing each element of the target population are placed on chips (i.e., cards, paper, or other objects).
The chips are then placed in a container and mixed. Chips are then blindly selected from the container until the desired sample size has been obtained. The disadvantages of this selection method are that it is time consuming, and is limited to small populations.
Random number table
Using random numbers, an alternative method jordan phone number involves numbering members of the population from 1 to N. Then the sample size n has to be determined by selecting the numbers at random.
Using a random number table similar to the one below can greatly assist with the application of this sampling technique.
random number table
A random number table does not follow a particular pattern. They can be read in any way, i.e. horizontally, vertically, diagonally, forwards or backwards. The number of digits used should correspond to the total size of the target population.
Numbers that the researcher finds do not match the numbers assigned to elements of the target population are ignored. This random number table process is a tedious, time-consuming process, and is not recommended for large populations .
Instead, statistical software or spreadsheets can be used to generate random numbers.
Elements from the population whose assigned numbers match the numbers generated by the software are included in the sample. A number can be selected from a table of random numbers to be used as the starting number for the procedure.
Use the free sample size calculator to speed up your research
Types of simple random sampling
Simple random sampling is a random sampling method that can have two subtypes: sampling with replacement and sampling without replacement.
Replacement Sampling: In this, after an element has been selected from the sample frame, it is returned and is eligible to be selected again.
Sampling without replacement : In this, after an element is selected from the sample frame, it is removed from the population and does not return to the sampling base. This type of sampling is usually more efficient as it does not allow the same element of the population to enter the sample more than once.
simple random sampling type
Advantages of simple random sampling
Using this type of probability sampling can offer some advantages for certain studies, including:
It tends to produce representative samples and allows the use of inferential statistics in the analysis of collected data .
Each selection is independent of other selections; all possible combinations of sampling units have an equal chance of being selected. In systematic sampling, the chances of being selected are not independent of each other.
In general, it is easier than other probability sampling procedures (such as cluster sampling ) to understand and communicate to others.
The statistical procedures required to analyze the data and calculate the errors are easier than those required in other probability sampling procedures.