Mean and variance of Bernoulli distribution example | Probability and Statistics | Khan Academy

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Mean and Variance of Bernoulli Distribution Example

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This man so powerful he can survey the entire population.

jacobbudd
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I am amazed that every time on your videos I find that little piece of information that makes all the pieces connect together. What a beautiful and simple way to define it. Good presentation must be a gift given by God! and often times is rare to find.

Melsi
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Variance
= Probability-weighted sum of squared-distances from the mean
= Expected value of squared-distances from the mean

karannchew
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You make finding the variance very complicated, the right way is just
0.6 * 0.4 = 0.24 i.e variance = p * q

Success * failure = variance

muhammadaliyu
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Sir, if x, y and z are bernaulli varaites and xy are independent, yz are independent and zx are independent then show that P(xyz=0)>=3/4.May you give the idea behind this?

rockypriyadarshi
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@rahat5810 it's the variance when it is squared

Gboooo
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please explain this question----X ~ B(n, p). The maximum value of Var (X) is

raunee
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Hey there,

what is the difference between Binomial and Bernoulli distribution?

Thanks in advance.

pruthvirajsp
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why didn't we divide by N? both for the mean and for the SD?

ElanaSl
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this guy has the same voice as the narrator on the tv series "How I met your Mother"

thewixard
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wont things change if instead of making 40%=0 you made it equal 1 and 60%=2.????

oyonater
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At 6.26 both standard deviation and variance is said to be 0.24. Is that a slip of tongue?

SarkarAnwar
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In this one p=P(X=1)=0.6. Obviously if you choose p=P(X=1)=0.4 results will change but p expresses the probability that I don't like the president

panagiotisgoulas
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is there any app for the calculator like he used ?

ahmedmandour
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what happened to the degrees of freedom ? O.o

Sutto
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Let's say we are able to go out...

crosline
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Why does he change color for every letter/number he writes?

prasanthyadla
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if 0 and 1 are arbitrary what if I take 100 and 1000 instead of 0 and 1?

neelesh.vishwakarma
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variance is wrong it will be p(1-p) which is equal to 0.24. still thanx ur awesome

the_stem_genius
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Lewis Richard Jackson Barbara Johnson Sharon

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