Difference Between Variance and Standard Deviation

 Understanding the main difference between Variance and Standard deviation is important to know. These mathematical terms are usually used in normal mathematical equations to solve problems.

Primarily variance and standard deviation are used as metrics to solve statistical problems. The standard deviation formula is used to measure the standard deviation of the given data values. It is important to understand the difference between variance, standard deviation, as they are both commonly used terms in the probability theory and statistics.  These two terms are used to determine the spread of the data set. Both the standard deviation and the variance are numerical measures, which calculates the spread of data from the mean value.

Here, the list of comparative differences between the variance and the standard deviation is given below in detail:

Variance

• It can simply be defined as the numerical value, which describes how variable the observations are.
• Variance is nothing but the average taken out of the squared deviations.
• Variance is expressed in Squared units.
• It is mathematically denoted as (σ2)
• Variance is a perfect indicator of the individuals spread out in a group.

Standard Deviation

• It can simply be defined as the observations that get measured are measured through dispersion within a data set.
• Standard Deviation is defined as the root of the mean square deviation
• Standard deviation is expressed in the same units of the data available.
• It is mathematically denoted as (σ)
• Standard deviation is the perfect indicator of the observations in a data set.