The purpose of Simple Random Sampling is to ensure that all members of the population have an equal chance of being selected for the study. Then, you would use a random number generator to select 10 names from that list. To do this, you would first list all 100 names in the population. If you wanted to select a random sample of 10 people from a population of 100, you would use simple random sampling. Simple Random Sampling can be used to select a small portion of the population, which can then be studied in detail. If the population is too large, then it would be extremely difficult and time-consuming to select every member of the population. If the researcher only wants to study a small portion of the population, then Simple Random Sampling can be used to select that portion of the population. When the researcher wants to study a small portion of the population: If all members of the population are similar to each other, then Simple Random Sampling can be used to obtain a representative sample from that population. There are several situations when Simple Random Sampling should be used: For example, if you had a population of 6 people and a sample size of 100, and you randomly selected 1 person from this population, would it be representative? When to use Simple Random Sampling For example, if you had a population of 6 and a sample size of 100, then use the first 6 digits from your random number generator to select each individual from your population (1-6).Ĭheck that your sample is representative:Īfter you have selected the sample, check to make sure that your sample is representative of the population. Once you have generated random numbers (using a random number generator), use those numbers to select individuals from your population. This is a computer program that will randomly generate numbers from 0 to whatever the maximum value of the sample size. There are several ways to generate a simple random sample, but the most common is to use a random number generator. Select a method for generating your sample: all students enrolled in a particular school). This can be done by looking at records or lists of individuals who meet certain criteria (e.g. The first step is to identify the population from which you will be selecting your sample. To conduct a simple random sampling, you will need to: Simple random sampling can be used to select a representative sample from a large population in order to make inferences about that population. This is the most basic and fundamental method of sampling and is used as a starting point for more complex methods. Simple Random Sampling is a type of probability sampling method, where each member of the population has an equal and independent chance of being selected for the sample.
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