Answer:
Step-by-step explanation:
The geometric distribution represents "the number of failures before you get a success in a series of Bernoulli trials. This discrete probability distribution is represented by the probability density function:"
Let X the random variable that measures the number os trials until the first success, we know that X follows this distribution:
In order to find the expected value E(1/X) we need to find this sum:
![E(X)=\sum_{k=1}^{\infty} \frac{p(1-p)^{k-1}}{k}](https://tex.z-dn.net/?f=E%28X%29%3D%5Csum_%7Bk%3D1%7D%5E%7B%5Cinfty%7D%20%5Cfrac%7Bp%281-p%29%5E%7Bk-1%7D%7D%7Bk%7D)
Lets consider the following series:
And let's assume that this series is a power series with b a number between (0,1). If we apply integration of this series we have this:
(a)
On the last step we assume that
and
, then the integral on the left part of equation (a) would be 1. And we have:
![\int_{0}^b \frac{1}{1-r}dr=-ln(1-b)](https://tex.z-dn.net/?f=%5Cint_%7B0%7D%5Eb%20%5Cfrac%7B1%7D%7B1-r%7Ddr%3D-ln%281-b%29)
And for the next step we have:
![\sum_{k=1}^{\infty} \frac{b^{k-1}}{k}=\frac{1}{b}\sum_{k=1}^{\infty}\frac{b^k}{k}=-\frac{ln(1-b)}{b}](https://tex.z-dn.net/?f=%5Csum_%7Bk%3D1%7D%5E%7B%5Cinfty%7D%20%5Cfrac%7Bb%5E%7Bk-1%7D%7D%7Bk%7D%3D%5Cfrac%7B1%7D%7Bb%7D%5Csum_%7Bk%3D1%7D%5E%7B%5Cinfty%7D%5Cfrac%7Bb%5Ek%7D%7Bk%7D%3D-%5Cfrac%7Bln%281-b%29%7D%7Bb%7D)
And with this we have the requiered proof.
And since
we have that:
Answer:
e=44°
Step-by-step explanation:
3e-4+e+8 = 180 degree (being linear pair)
4e+4=180
4e=180-4
4e=176
e=176/4
e=44 degree
x ≈ 59°
Work is on piece of paper, yet I don't have a phone. I'm certain that is the answer.
Answer:
x=215.63 ft
Step-by-step explanation:
sin(53)=x/270
x=270sin(53)
x=215.63 ft