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:
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:
And for the next step we have:
And with this we have the requiered proof.
And since we have that:
D. 36 - just do the reverse of the question, (-12 * 3 = ...)
Answer:
Step-by-step explanation:
<em>(4 , - 4)</em> -----> ( 4 - 4 + 4 , - 4 ) = <em>( 4 , - 4 )</em>
Answer:
x
= 12
y y = 29x
29 12
Step-by-step explanation:
Answer:
I can't see the questions properly
Step-by-step explanation: