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.
Earned ?