Expected Value of the Bernoulli Distribution | Probability Theory

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How do we derive the mean or expected value of a Bernoulli random variable? We'll be going over that in today's probability theory lesson!

Remember a Bernoulli random variable is a random variable that is equal to 1 (success) with probability p and equal to 0 (failure) with probability 1-p. Thus, the expected value can be found by adding 0*(1-p) and 1*p, because these are the possible outcomes (0 and 1) weighted by their respective probabilities ( (1-p) and p) and added together. This sum is 0 + p = p, thus proving the expected value (or mean, if you prefer) of a Bernoulli random variable with probability of success p is p by definition of expected value!

I hope you find this video helpful, and be sure to ask any questions down in the comments!

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The outro music is by a favorite musician of mine named Vallow, who, upon my request, kindly gave me permission to use his music in my outros. I usually put my own music in the outros, but I love Vallow's music, and wanted to share it with those of you watching. Please check out all of his wonderful work.

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+WRATH OF MATH+


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Perfectly explained! Thanks for covering this

rayraystinz
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Hi! Nice videos! Could you cover random variables with their liminf, limsup, difference convergence modes and all the theorems and lemmas that apply? It’s so confusing I’d love to get the intuition for it

jenniferk
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Nice lesson, but it will be nice if you are a little bit slow, cause some people needs time to process well. Thank you

ifeanyichidera