A normal distribution can be used to describe how sample characteristics or events relate to each other. The distribution can be “used to predict and adjust for a wide range of financial goals by optimizing financial decision-making by applying and graphically mapping financial data into a distribution set of variables” (“The use of normal distribution in finance”, 2011). Under the normal distribution curve (bell curve), data is distributed around the mean or expected value. A low standard deviation indicates that the data points tend to be close to the mean of the data set, while a high standard deviation indicates that the data points are spread out over a wider range of values. Thus, determining if certain financial events are normally distributed can be useful because those events may be more likely to follow probabilistic patterns in the future.
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