![]() You could use something like a random number generator (RNG) to choose people based on their address or any other identifying information. You choose these individuals randomly so that they represent the widest possible cross-section of the group they're in. ![]() This could be a few dozen, hundred or thousand individuals, depending on your resources. Instead of asking every single inhabitant, which could be very costly and time-consuming, you might decide to ask a sample. For example, you might want to investigate average incomes within your city. ![]() This is a sample of a population or group of people that's totally random. Understanding what is a simple random sample can help you to determine if this is the sort of information that's useful or relevant to your investigation. Related: Statistics degree jobs: what you can do with your degree What is a simple random sample? In this article, we explain what a simple random sample is, what they're commonly used for and some of the advantages and disadvantages of using them. If you're interested in statistics, trends and economics, understanding what a simple random sample is can be quite useful. These are a useful alternative to more comprehensive census data, which is much more costly and is typically only done every 10 years. Random simple samples are useful in information gathering to try and determine some common characteristics among a population.
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