The Bernoulli Distribution: Deriving the Mean and Variance

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I derive the mean and variance of the Bernoulli distribution.
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I've been stuck on this for hours and he does it in less than 5 minutes. Thank god for youtube.

ashannisonny
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Great explanation JB ! Your lectures are helpful for my actuarial exams.  

Neojs
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this is like my 10th time watching this video. thanks for making short and concise videos I can come back to every time I need to.

nestam
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Best Of Luck Forever
For Sharing Such a Deep Knowledge in such a simple way.
Well Done Sir

GoodLuckForever-wikb
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Thanks i was not expecting much from a yt video but actually amazingly complete and coherent proof. Was easy to follow. Thanks a lot

asterisk
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Wow fantastic explanation. I have just discovered your channel and it. is. amazing. you really makes things really understandable. keep doing ...

egekonuk
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very helpful and concise explanation, great job

alanmintz
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Straight to the point and very helpful.... Thank you

isaacvictor
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Great job man!

Awesome explanation, your lectures are very helpful.

victorsoares
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simple and to the point, thank you very much

oratilenkhutelang
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Thank you for the explanation, it helped me a lot.

Adamek
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Could you please incorporate example like using questions that would be really helpful

teresiahnjoroge
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well explained bro .Please keep posted videos on statistics

uttamchoudhary
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Thank you for lucid explanation.You have calculated expectation to be same as that of mean.Are expectation and mean same? Can you please elaborate on this ?

roy
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They study Statistics in Canada? Kidding. Awesome explanation. Thank you so much.

sidsethiofficial
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bro im sorry but this makes absolutely 0 sense

saschaweyman
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Where do you need to put the square exponents for calculating the variance of X?
I like to think of it as the inside - outside rule.


You have to "expected value" terms that are subtracted:


E(X) - E(X)
inside - outside
E(X^2) - E(X)^2

konstantinrebrov
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Can you please prove with Bernoulli distribution as population, sampling distribution converges to Normal? (Not sum of bernoulli, which is a binomial RV)

parthi
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please give the proof £f(x;n, p)=1 for binomial distribution

sarabantohura
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Why the summation have value zero and one

ghadaragab