![]() You can then use a sample size calculator to estimate the necessary sample size. Since you may not know the standard deviation of the population you are studying, you should choose a number high enough to account for a variety of possibilities (such as 0.5). The most common confidence interval and levels used are 0.05 and 0.95, respectively. There are several potential ways to decide upon the size of your sample, but one of the simplest involves using a formula with your desired confidence interval and confidence level, estimated size of the population you are working with, and the standard deviation of whatever you want to measure in your population. Although larger samples provide more statistical certainty, they also cost more and require far more work. Next, you need to decide how large your sample size will be. Example: PopulationIn the American Community Survey, the population is all 128 million households who live in the United States (including households made up of citizens and non-citizens alike). It’s important to ensure that you have access to every individual member of the population, so that you can collect data from all those who are selected for the sample. Start by deciding on the population that you want to study. There are 4 key steps to select a simple random sample. You divide the sample into clusters that approximately reflect the whole population, and then choose your sample from a random selection of these clusters. ![]()
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