Standard Deviation High at Clair Azevedo blog

Standard Deviation High. high standard deviation: It tells you, on average, how far each. In contrast, a high standard deviation indicates that data points are spread out over a large range of values. The higher the standard deviation the more variability or spread you have in your data. A standard deviation can’t be “good” or “bad” because it simply tells us how spread out the values. a standard deviation close to 0 indicates that the data points tend to be close to the mean (shown by the dotted line). the standard deviation is affected by outliers (extremely low or extremely high numbers in the data set). the standard deviation is the average amount of variability in your dataset.

Standard Deviation • Standard deviation
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A standard deviation can’t be “good” or “bad” because it simply tells us how spread out the values. high standard deviation: the standard deviation is affected by outliers (extremely low or extremely high numbers in the data set). It tells you, on average, how far each. a standard deviation close to 0 indicates that the data points tend to be close to the mean (shown by the dotted line). the standard deviation is the average amount of variability in your dataset. In contrast, a high standard deviation indicates that data points are spread out over a large range of values. The higher the standard deviation the more variability or spread you have in your data.

Standard Deviation • Standard deviation

Standard Deviation High the standard deviation is affected by outliers (extremely low or extremely high numbers in the data set). It tells you, on average, how far each. A standard deviation can’t be “good” or “bad” because it simply tells us how spread out the values. The higher the standard deviation the more variability or spread you have in your data. high standard deviation: the standard deviation is affected by outliers (extremely low or extremely high numbers in the data set). In contrast, a high standard deviation indicates that data points are spread out over a large range of values. the standard deviation is the average amount of variability in your dataset. a standard deviation close to 0 indicates that the data points tend to be close to the mean (shown by the dotted line).

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