Duplicate Question
The question on this page has been marked as a duplicate question.
Original Question
Calculate μ and σ, where σ is the standard deviation, defined by the following. σ^2 = integral between (−∞,∞) (x-μ)^2 p(x) dx T...Asked by Christina
Calculate μ and σ, where σ is the standard deviation, defined by the following.
σ^2 = integral between (−∞,∞) (x-μ)^2 p(x) dx
The smaller the value of σ the more tightly clustered are the values of the random variable X about the mean μ.
p(x) = 1/r e^-x/r on [0, ∞),where r > 0
μ = __________
σ = +/- ________
σ^2 = integral between (−∞,∞) (x-μ)^2 p(x) dx
The smaller the value of σ the more tightly clustered are the values of the random variable X about the mean μ.
p(x) = 1/r e^-x/r on [0, ∞),where r > 0
μ = __________
σ = +/- ________
Answers
Answered by
Steve
you have
∫[-∞,+∞] (x-μ)^2 1/r e^-(x/r) dx
This just boils down to
∫x^2 e^(-x) dx
with suitable constants thrown about. Do it with integration by parts twice to get
-(x^2+2x+2)e^(-x)
Now substitute in (x-μ) and x/r and things work out ok.
∫[-∞,+∞] (x-μ)^2 1/r e^-(x/r) dx
This just boils down to
∫x^2 e^(-x) dx
with suitable constants thrown about. Do it with integration by parts twice to get
-(x^2+2x+2)e^(-x)
Now substitute in (x-μ) and x/r and things work out ok.
There are no AI answers yet. The ability to request AI answers is coming soon!
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.