Find the distribution of R = A sin θ , where A is a fixed constant and θ is uniformly distributed on ( − π 2 , π 2 ) . Such a random variable R arises in the theory of ballistics. If a projectile is fired from the origin at an angle α from the earth with a speed v. then the point R at which it returns to the earth can be expressed as R = ( v 2 g ) sin 2 α , where g is the gravitational constant, equal to 980 centimeters per second squared.
Find the distribution of R = A sin θ , where A is a fixed constant and θ is uniformly distributed on ( − π 2 , π 2 ) . Such a random variable R arises in the theory of ballistics. If a projectile is fired from the origin at an angle α from the earth with a speed v. then the point R at which it returns to the earth can be expressed as R = ( v 2 g ) sin 2 α , where g is the gravitational constant, equal to 980 centimeters per second squared.
Find the distribution of
R
=
A
sin
θ
, where A is a fixed constant and
θ
is uniformly distributed on
(
−
π
2
,
π
2
)
. Such a random variable R arises in the theory of ballistics. If a projectile is fired from the origin at an angle
α
from the earth with a speed v. then the point R at which it returns to the earth can be expressed as
R
=
(
v
2
g
)
sin
2
α
, where g is the gravitational constant, equal to 980 centimeters per second squared.
Question 1: Let X be a random variable with p.m.f
(|x| +1)²
x= -2, -1, 0, 1,2
f(x) =
C
0,
O.W
1. The value of c.
2. The c.d.f.
3. E(X).
4. E(2x+3).
5. E(X²).
6. E(3x²+4).
7. E(X(3X+4)).
8. Var(X).
9. Var (6-3X).
10. Find the m.g.f of the random variable X
Please could you explain how to do integration by parts for this question in detail please
2. Claim events on a portfolio of insurance policies follow a Poisson process with parameter
A. Individual claim amounts follow a distribution X with density:
f(x)=0.0122re001, g>0.
The insurance company calculates premiums using a premium loading of 45%.
(a) Derive the moment generating function Mx(t).
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.