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In this post, we’ll explain exactly what standard deviation and standard error mean, as well as the key differences between them.

This is where statistics like standard deviation and standard error come in. In other words, how applicable are your findings? As part of your analysis, it’s important to understand how accurately or closely the sample data represents the whole population. In this case, it most likely wouldn’t be possible to collect the data you need from every single person living in that city-rather, you’d use a sample of data and then apply your findings to the general population. For example, you might use data to better understand the spending habits of people who live in a certain city. When analyzing and interpreting data, you’re trying to find patterns and insights that can tell you something useful. Keep reading for a beginner-friendly explanation.

What are they used for, and what do they actually mean for data analysts? Well, you’ve come to the right place. Perhaps you’ve come across the terms “standard deviation” and “standard error” and are wondering what the difference is.