Random variable, expected value,Variance

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SUMMARY

The discussion centers on the calculation of expected value and variance for the random variable representing the length of the word "blue." The expected value, E(X), is determined to be 4, as the word has four letters. The variance, Var(X), is concluded to be 0, indicating no variation in the length since "blue" consistently has four letters. The calculations provided confirm that the expected value and variance are correctly derived based on the definitions of these statistical concepts.

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philipSun
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Hi.
I choose randomly a one word, and I decided to choose a word blue. Let random variable x be a length of the word blue. What is expected value and variance of a word blue?



So, random variable x = 4.

E(X) = Ʃ xi fX(xi)
i:xi∈S

x1 + x2 + x3 + x4 = 10.

expected value = 10.


Variance is

Var(X) = E[X − E(X)]^2


Var(X) = E[10 − E(4)]^2 = 6^2 = 36


Variance = 36
 
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I do a little improvement.

E(X) = Ʃ xi f(x)p(x)
i:p(x)∈S

x1 + x2 + x3 + x4 = 10.

expected value = 10. Is this correct?Variance is

Var(X) = E[X − E(X)]^2Var(X) = E[10 − E(4)]^2 = 6^2 = 36Variance = 36. Is this correct?
 
The problem as described has a mean of 4 (blue has 4 letters) and a variance of 0 (blue has 4 letters - no variation).
 
Can you formalize those solutions?

I don't understand.
Do you mean that expected value is 4 ? Mean = expected value?

And because blue has 4 letters - no variation. so variance is

Var(X) = E[4 − E(4)]^2 = 0 ??
 
Mean = expected value (almost by definition - since mean may be defined as sample mean or true mean - the expected value).

Var(X) = 0, as you described.
 

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