SOLUTION: For a laboratory assignment, if the equipment is working, the density function of the observed outcome X is f(x) = {2(1 − x), 0 < x < 1, {0, otherwise. Find the varia

Algebra ->  Probability-and-statistics -> SOLUTION: For a laboratory assignment, if the equipment is working, the density function of the observed outcome X is f(x) = {2(1 − x), 0 < x < 1, {0, otherwise. Find the varia      Log On


   



Question 1204182: For a laboratory assignment, if the equipment is
working, the density function of the observed outcome
X is
f(x) = {2(1 − x), 0 < x < 1,
{0, otherwise.
Find the variance and standard deviation of X.

Found 2 solutions by ikleyn, math_tutor2020:
Answer by ikleyn(52775) About Me  (Show Source):
You can put this solution on YOUR website!
.

Hello, sorry,

I mistakenly pressed wrong button.

Please re-post your problem again.

Please do not post it to me in person.



Answer by math_tutor2020(3816) About Me  (Show Source):
You can put this solution on YOUR website!

Review the formulas mentioned here
https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/MATH_345__-_Probability_(Kuter)/4%3A_Continuous_Random_Variables/4.2%3A_Expected_Value_and_Variance_of_Continuous_Random_Variables

E[X] = expected value of X = mean

The formula on that page says:

However, we do not have to worry about the entire real number line.
Instead, we can shrink the domain to focus on the interval 0 < x < 1, since f(x) = 0 otherwise.

You need to calculate


I'll skip steps
Integrating should be fairly trivial because 2x(1-x) = 2x-2x^2 is a polynomial

You should find that
E[X] = 1/3
in other words,
mu = mean = 1/3

-----------------------------

The variance is defined as

i.e.


So we'll need to calculate E(X^2)

Once again I'll skip steps.

The result you should get is E[X^2] = 1/6

-----------------------------

Therefore,
Var(X) = variance
Var(X) = E[X^2] - ( E[X] )^2
Var(X) = 1/6 - ( 1/3 )^2
Var(X) = 1/18

And,
SD(X) = standard deviation
SD(X) = sqrt( Var(X) )
SD(X) = sqrt( 1/18 )
SD(X) = 1/sqrt(18)
SD(X) = sqrt(18)/18