In a normal distribution curve, what percentage of data falls between +1 and -1 standard deviation?

In a normal distribution curve, the empirical rule, often referred to as the 68-95-99.7 rule, states that approximately 68% of the data falls within one standard deviation (both above and below the mean). This means that if you consider the range from -1 standard deviation to +1 standard deviation from the mean, you capture about 68% of all data points in a perfectly normal distribution.

This understanding is fundamental when analyzing data that is symmetrically distributed. In practical applications, recognizing the concentration of data within standard deviations helps in various statistical analyses, risk management, and quality control processes. Thus, responding with the percentage of 68 accurately reflects the properties of a normal distribution regarding the spread of data around the mean within that specific range.