Errors in measuring the time of arrival of a wave front from an acoustic source sometimes have an approximate beta distribution. Suppose that these errors, measured in microseconds, have approximately a beta distribution with α = 1 and β = 3.
What is the probability that the measurement error in a randomly selected instance is less than 0.8 µs?
Give the mean and standard deviation of the measurement errors in microseconds.
a)
| f(x)=(1/B(α,β))*xα-1*(1-x)β-1 = | 3*x^0*(1-x)^2 | =3(1-x)2 | |
P(X<0.8)=
f(x )dx =
3(1-x)2 dx
=-3*(1-x)3/3|0.80
=0.9920
b)
| mean μ=E(X)=α/(α+β)=1/(1+3) = | 0.2500 | |
| variance=σ2= | αβ/((α+β)2*(α+β+1))= | 0.0375 |
| standard deviation=σ=√σ2= | 0.1936 | |
Errors in measuring the time of arrival of a wave front from an acoustic source sometimes...
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