According to the 3-Sigma Rule, what percentage of data points will be within 3 standard deviations from the mean?

The 3-Sigma Rule, often related to the properties of a normal distribution, states that approximately 99.7% of data points fall within three standard deviations from the mean. However, the context of the choices refers to a more general understanding of data distribution and the typical percentages associated with it.

The correct answer is that at least 95% of data points will fall within 3 standard deviations from the mean in a normal distribution. This principle is fundamental in statistics as it provides insight into how data is spread around the mean. Understanding this rule is essential for interpreting statistical data, as it helps to identify outliers and understand the variability of data.

While 88.9% is a substantial figure when discussing data ranges, particularly with less strict parameters, the traditionally accepted value for the 3-Sigma Rule in a robust statistical context is indeed 95%. This helps in many applications, such as quality control, where knowing how the majority of data behaves is critical for making informed business decisions.