What are the implications of a low standard deviation in a data set?
- The data values are close to the mean
- The data values are spread out widely from the mean
- The data values are uniformly distributed
- The data values have many outliers
A "Low Standard Deviation" implies that the data values are "Close to the mean". In other words, most data points are close to the average data point.
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