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This is my video series about Probability Theory. I hope that it will help everyone who wants to learn about it.
This video is about probability theory, also known as stochastics, stochastic processes or statistics. I keep the title in this general notion because I want cover a lot of topics with the upcoming videos.
00:00 Introduction
00:58 Definition: covariance
01:30 Variance is additive
04:04 Connection to independence
04:45 Correction: (X,Y) should be jointly normally distributed.
06:10 Definition: correlation coefficient
07:25 Example of covariance
11:00 Credits
#ProbabilityTheory
#MeasureTheory
#Analysis
#Calculus
#Mathematics
I hope that this helps students, pupils and others. Have fun!
(This explanation fits to lectures for students in their first and second year of study: Mathematics for physicists, Mathematics for the natural science, Mathematics for engineers and so on)
For questions, you can contact me: https://steadyhq.com/en/backend/messages#/me/brightsideofmaths
The Bright Side of Mathematics has whole video courses about different topics and you can find them here https://tbsom.de/s/start