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Learn Data Science with us, Data Analyst course: https://to.karpov.courses/9SxIcg Behind the rather simple, at first glance, formula for variance, there are many questions, understanding the answers to which will allow you to take a deeper look at data analytics. Today, we will figure out not only why we subtract one from the sample size, but also consider the variety of possibilities for using variance in work. Timestamps: 00:00 - Introduction and objectives of the lecture 00:08 - Definition of variance and standard deviations 01:06 - Why we divide by n-1: Theory and examples 08:12 - Deep analysis of variance and standard deviations: Examples and calculations 24:26 - Using variance and standard deviations on real data 26:17 - Errors and difficult moments 29:58 - Ronald Fisher, the ANOVA method 31:55 - Conclusion and findings