Using the lognormal and the binomial distributions, it is found that:
- The 90th percentile of this distribution is of 136 dB.
- There is a 0.9147 = 91.47% probability that received power for one of these radio signals is less than 150 decibels.
- There is a 0.0065 = 0.65% probability that for 6 of these signals, the received power is less than 150 decibels.
In a <em>lognormal </em>distribution with mean
and standard deviation
, the z-score of a measure X is given by:
- It measures how many standard deviations the measure is from the mean.
- After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
In this problem:
- The mean is of
.
- The standard deviation is of
![\sigma = \sqrt{1.22}](https://tex.z-dn.net/?f=%5Csigma%20%3D%20%5Csqrt%7B1.22%7D)
Question 1:
The 90th percentile is X when Z has a p-value of 0.9, hence <u>X when Z = 1.28.</u>
![Z = \frac{\ln{X} - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B%5Cln%7BX%7D%20-%20%5Cmu%7D%7B%5Csigma%7D)
![1.28 = \frac{\ln{X} - 3.5}{\sqrt{1.22}}](https://tex.z-dn.net/?f=1.28%20%3D%20%5Cfrac%7B%5Cln%7BX%7D%20-%203.5%7D%7B%5Csqrt%7B1.22%7D%7D)
![\ln{X} - 3.5 = 1.28\sqrt{1.22}](https://tex.z-dn.net/?f=%5Cln%7BX%7D%20-%203.5%20%3D%201.28%5Csqrt%7B1.22%7D)
![\ln{X} = 1.28\sqrt{1.22} + 3.5](https://tex.z-dn.net/?f=%5Cln%7BX%7D%20%3D%201.28%5Csqrt%7B1.22%7D%20%2B%203.5)
![e^{\ln{X}} = e^{1.28\sqrt{1.22} + 3.5}](https://tex.z-dn.net/?f=e%5E%7B%5Cln%7BX%7D%7D%20%3D%20e%5E%7B1.28%5Csqrt%7B1.22%7D%20%2B%203.5%7D)
![X = 136](https://tex.z-dn.net/?f=X%20%3D%20136)
The 90th percentile of this distribution is of 136 dB.
Question 2:
The probability is the <u>p-value of Z when X = 150</u>, hence:
![Z = \frac{\ln{X} - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B%5Cln%7BX%7D%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{\ln{150} - 3.5}{\sqrt{1.22}}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B%5Cln%7B150%7D%20-%203.5%7D%7B%5Csqrt%7B1.22%7D%7D)
![Z = 1.37](https://tex.z-dn.net/?f=Z%20%3D%201.37)
has a p-value of 0.9147.
There is a 0.9147 = 91.47% probability that received power for one of these radio signals is less than 150 decibels.
Question 3:
10 signals, hence, the binomial distribution is used.
Binomial probability distribution
The parameters are:
- x is the number of successes.
- n is the number of trials.
- p is the probability of a success on a single trial.
For this problem, we have that
, and we want to find P(X = 6), then:
![P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}](https://tex.z-dn.net/?f=P%28X%20%3D%20x%29%20%3D%20C_%7Bn%2Cx%7D.p%5E%7Bx%7D.%281-p%29%5E%7Bn-x%7D)
![P(X = 6) = C_{10,6}.(0.9147)^{6}.(0.0853)^{4} = 0.0065](https://tex.z-dn.net/?f=P%28X%20%3D%206%29%20%3D%20C_%7B10%2C6%7D.%280.9147%29%5E%7B6%7D.%280.0853%29%5E%7B4%7D%20%3D%200.0065)
There is a 0.0065 = 0.65% probability that for 6 of these signals, the received power is less than 150 decibels.
You can learn more about the binomial distribution at brainly.com/question/24863377
Answer:
vRead the passage from “The Beginnings of the Maasai.”
Now Enkai lives at the top of Mount Kenya, and we Maasai still live below, herding cattle down in the plains. It’s not a bad life, especially when Enkai is the Black God, providing for us. And when the cattle or other children cause problems, I just warn them that they never know when I might suddenly develop my godly powers.
The main purpose of the passage is to illustrate the relationship between the Maasai and
Mount Kenya.
the children.
the cattle.
their god.
Step-by-step explanation:
Answer:
11:52...
Step-by-step explanation:
11:52. It could be any time except the time 11:37 from now, since its NOT going to be.
Hope this helps!
The answer you will be dividing by is 4. hope this helps
When you cant simplyfy it anymore