**Instructions:** Enter the sample data below and the solver will provide step-by-step calculation of the sample mean, variance and standard deviation:

#### More About Descriptive Statistics

Descriptive Statistics corresponds to measures and charts that are derived from *sample data* and are intended to provide information about the population being studied. Two basic types of descriptive statistics are the * measures of central tendency* and the *measures of dispersion*.

The measures of central tendency intend to give an idea of the location of the distribution. Examples of central tendency measures are the sample mean \(\bar X\), the median and the mode. Examples of measures of dispersion are the variance \(s^2\), the standard deviation \(s\), and the range among others. Different measures are more appropriate than others for certain cases. For example, certain measures like the mean are very sensitive to outliers, and therefore, when a sample has strong outliers or it is very skewed, the preferred measure of central tendency would be the median instead of the sample mean