This math topic focuses on understanding the distribution of data within a normal curve as defined by standard deviations (sigma, σ). It explores how to calculate and interpret the percentage of data found within different ranges of σ, specifically between various σ values and the mean. The skill involves using the concept of Z-scores and the properties of a normal distribution to determine the proportion of data expected between specified standard deviation limits. Each question presents a different range of σ values, assessing the ability to convert these sigma descriptions to the corresponding percentage of data encompassed.
Work on practice problems directly here, or download the printable pdf worksheet to practice offline.