Standard Deviation - Definition and Function (Full article)

In statistics, the standard deviation is a measure used to measure the amount of variation or distribution of a certain amount of data values.

The lower the standard deviation, the closer to the average, whereas if the standard deviation value is higher then the width of the range of data variations. So the standard deviation is a big difference from the sample value to the average.

Standard deviation is also called standard deviation and symbolized by the Greek alphabet sigma σ or Latin letter s.

The standard deviation also expresses sample diversity and can be used to obtain data from a population. For example, when we want to know the value obtained by students in a district with a population of 50,000 students, then sampled 5,000 people. From the results of research, samples obtained data with a certain standard deviation. The larger the standard deviation, the greater the sample diversity.

5 Standard Deviation Function

Standard deviation is a measure used to measure the amount of variation or distribution of a set of data values. The low standard deviation indicates that the data points tend to be close to the mean, whereas the high standard deviation indicates that the data points are spread over a wider range of values. Standard deviation is also called standard deviation and symbolized by the Greek alphabet sigma (σ) or Latin letter s. Here are some standard deviation functions. Immediately we see the first:

standard deviation function


1. To know the difference between the sample value to the average.
2. To express the sample diversity.
3. To help get data from a population.
4. Measures the level of confidence in statistical inference.
5. To measure the volatility of investment with standard deviation return on investment.

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