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Show that Γ12=π

Hint: Γ12=∫0∞e-xx-1/2dxMake the change of variables y=2xand then relate the resulting expression to the normal distribution.

Short Answer

Expert verified

Using the proper substitution, find the density of Standard Normal under the integral by expressing Γ12the condition.

Step by step solution

01

Substitutions of variables.

We have that

Γ12=∫0∞x12-1e-mtight>xdx=∫0∞x-12e-xdx

Now, make the substitution x=y22which implies that dx=ydyand y=2x

We have that

∫0∞x-12e-xdx=∫0∞2ye-y22ydy=2∫0∞e-y22dy

02

Evaluate the integral.

In order to evaluate the remaining integral, observe that ∫0∞12πe-y22dy=12since the function under the integral is the density of Standard Normal and we integrate it over the positive half of the real line.

So, we have that

2∫0∞e-y22dy=2·2π∫0∞12πe-y22dy=2·2π·12=π

So, we have proved that

Γ12=π

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Most popular questions from this chapter

Prove Corollary2.1.

The life of a certain type of automobile tire is normally distributed with mean 34,000miles and standard deviation 4,000miles.

(a) What is the probability that such a tire lasts more than 40,000miles?

(b) What is the probability that it lasts between 30,000and35,000miles?

(c) Given that it has survived 30,000miles, what is the conditional probability that the tire survives another 10,000miles?

(a)A fire station is to be located along a road of lengthA,A<∞. If fires occur at points uniformly chosen on(0,A), where should the station be located so as to minimize the expected distance from the fire? That is, choose a so as to

minimize EX-a

whenXis uniformly distributed over (0,A)

(b)Now suppose that the road is of infinite length— stretching from point0 outward to∞. If the distance of fire from the point 0is exponentially distributed with rateλ, where should the fire station now be located? That is, we want to minimizeEX-a, where Xis now exponential with rateλ.

The probability density function of X, the lifetime of a certain type of electronic device (measured in hours), is given by

f(x)=10x2x>100x≤10

(a)FindP{X>20}

localid="1646589462481" (b)What is the cumulative distribution function of localid="1646589521172" X?

localid="1646589534997" (c)) What is the probability that of6such types of devices, at least localid="1646589580632" 3will function for at least localid="1646589593287" 15hours? What assumptions are you making?

For some constant c, the random variable X has the probability density function f(x) = c x n 0 < x < 1 0 otherwise Find (a) c and

(b) P{X > x}, 0 < x < 1.

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