Standard Deviation Calculator
Standard deviation means a measure of how many values ​​have been changed or scattered. High values ​​indicate that values ​​are divided into larger ranges, while low values ​​indicate that these values ​​are close to arithmetic averages. This is represented by sigma (σ) for the population and by the letter s, for example data, which is a Greek letter.
How to calculate the standard deviation
Standard deviations are rarely counted by hand. However, this can be done using the following formula, where x represents the value in the data set, μ represents the average value of the data set, and N indicates the number of values ​​in the data set.

The steps to calculate the standard deviation are as follows:
Determine the distance to the average for each value
Find the square of the distance for each value
Find the sum of these values ​​squared
Divide the total by the number of values ​​in the data set
Find the square root
Is that a standard error?
When conducting a survey, you often only collect data from a small sample of the entire population. Therefore, you might reach a slightly different set of values ​​each time in a slightly different way.
If you want to write in a Standard form or in standard notation you can also use an online Standard form calculator to ease of your work.

If you take enough samples from a population, the means are sorted based on the actual population average. The standard deviation of this distribution, namely the standard deviation of the sample media is called the standard errors.

Standard errors show you how accurate is the average sample from this population, which can be compared to the actual average population.

And the other one calculator is mentioned below, you can you this one also to solve your calculations easily.

If the standard error increases, e.g. More broadly mean, averages are more likely to be accurate representations of the actual average population.
How to calculate standard errors
Standard errors can be calculated using the following formula, where σ is the standard deviation and n is the sample size.

The standard error increases with increasing standard deviation, i. H. population spread. Standard errors decrease with increasing sample size. When the sample size approaches the actual population size, it means that the sample is increasingly grouped around the average of the actual population.

Author's Bio: 

Asad Shehzad writes SEO articles for online business marketers and SEO tools users to make their Google rankings surge. His articles have appeared in a number of websites i.e., eLearning Industry, and Inside Tech Box. He contributes articles about digital marketing, SEO techniques and tech regularly to