The standard deviation formula may look confusing, but it will make sense after we break it down. In the coming sections, we'll walk through a step-by-step interactive example.

The formula we use for standard deviation depends on whether the data is being considered a population of its own, or the data is a sample representing a larger population.

Introduction The questions below are designed to help you think deeply about standard deviation and its formula. Unlike most questions on Khan Academy, some of these questions aren't …

We could take the square root of both sides of this and say, the standard deviation of the sampling distribution of the sample mean is often called the standard deviation of the mean, …

See how distributions that are more spread out have a greater standard deviation.

What is the average age of the bears at your zoo? What is the standard deviation? Round your answers to the nearest tenth.

Standard deviation measures how far apart numbers are in a data set. Variance, on the other hand, gives an actual value to how much the numbers in a data set vary from the mean.

A standard deviation close to 0 indicates that the data points tend to be close to the mean (shown by the dotted line). The further the data points are from the mean, the greater the standard …

Aprende a calcular la desviación estándar paso a paso con ejemplos interactivos y explicaciones detalladas en este artículo de Khan Academy.

Find the standard deviation of the data set. Round your answer to the nearest hundredth.