How To Calculate Standard Deviation in Statistics (EASY & FAST)

This tutorial is a short but comprehensive guide on understanding the concept of standard deviation in statistics. The standard deviation quantifies how much the values of a variable tend to differ from the mean, aka. average value. A large standard deviation indicates a large spread, while a small standard deviation represents a smaller spread.
Mathematically, the standard deviation is the square root of the average of the squared differences from the mean for each individual. I will explain standard deviation in much simpler terms and will guide you step by step through an easy to follow example.
The calculation of standard deviation consists of five steps:
1 - calculate the mean of your sample
2 - square individual differences from the mean
3 - sum up the squared differences from the mean
4 - calculate the average squared difference (= variance)
5 - take the square root of the average squared difference
Furthermore, I will highlight the difference between sample standard deviation and population standard deviation and explain why a bias correction is necessary for the latter.
⏰ Timestamp
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0:00 Introduction
0:07 Textbook defintion of standard deviation
0:35 Example
0:48 1 - Calculate the mean of your sample
1:39 2 - Square individual differences from the mean
1:52 3 - Sum up the squared differences from the mean
2:05 4 - Calculate the average squared difference (= variance)
2:37 5 - Take the square root of the average squared difference
2:48 Interpretation of standard deviation
3:17 Two versions of standard deviation
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[@Shonade_Malik]

Nice video!

[@statorials]

Thanks, appreciate the feedback!