What Is Standard Deviation? Definition and Simple Example Explained
Learn what standard deviation means with a simple example illustrating data variation and how it measures dispersion around an average.
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Standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of values. For example, consider the test scores of five students: 85, 88, 90, 92, and 95. The closer these scores are to the average (90), the smaller the standard deviation. Conversely, if the scores were 70, 80, 90, 100, and 110, the standard deviation would be higher, indicating more variability in the data.
FAQs & Answers
- What is the formula for standard deviation? The standard deviation formula calculates the square root of the variance, which is the average of the squared differences from the mean.
- Why is standard deviation important in statistics? Standard deviation is important because it shows how spread out the data points are around the mean, helping to understand variability within a dataset.
- How do I interpret a high standard deviation? A high standard deviation indicates that the data points are spread out over a wider range of values, meaning more variability.