![]() Additionally, the red lines I drew on the curve show one standard deviation away from the mean in each direction. This image is a bell curve of our test scores data as you can see the middle of the curve is the value 91.9 which is our mean. If this is confusing for you, let’s take a look at the image below. ![]() This tells us that the data is fairly central to the mean and there are few if not no outliers in our dataset. So, what does this 5.5 really tell us about the test scores? The number 5.5 shows us how the numbers are spread out from the mean and 5.5 is a relatively low standard deviation score. The average of these test scores is 91.9, while the standard deviation is roughly 5.5. Sample Python Code for Standard Deviation This is very different than the mean, median which gives us the “middle” of our data, also known as the average. The standard deviation is more commonly used, and it is a measure of the dispersion of the data. The standard deviation or variance, the standard deviation is just the variance square rooted or raised to ½. Now that we discussed mean, median, and mode – let’s discuss a topic that is a bit more complex but is frequently used in finance, health, and many other sectors.
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