Answer:
The answer is below
Explanation:
Given that:
Frame transmission time (X) = 40 ms
Requests = 50 requests/sec, Therefore the arrival rate for frame (G) = 50 request * 40 ms = 2 request
a) Probability that there is success on the first attempt = 
but k = 0, therefore Probability that there is success on the first attempt = 
b) probability of exactly k collisions and then a success = P(collisions in k attempts) × P(success in k+1 attempt)
P(collisions in k attempts) = [1-Probability that there is success on the first attempt]^k = ![[1-e^{-G}]^k=[1-0.135]^k=0.865^k](https://tex.z-dn.net/?f=%5B1-e%5E%7B-G%7D%5D%5Ek%3D%5B1-0.135%5D%5Ek%3D0.865%5Ek)
P(success in k+1 attempt) =
Probability of exactly k collisions and then a success = 
c) Expected number of transmission attempts needed = probability of success in k transmission = 
Answer:
how many times as strong would what?
put your question in the replies to this answer and I'll gladly answer it
Explanation:
May I have brainliest please? :)
These principles are not explicit to one kind of program and are increasingly broad "best practice" rules that assist designers with composing code that is easier to maintain.
<u>Explanation:</u>
A set of programming guidelines that are executed to play out a particular undertaking according to the prerequisites of the client is known as programming. Every product has some essential standards to follow. In light of all product frameworks have basic quality traits, including accessibility, modifiability, execution, security and wellbeing, testability and ease of use, the key programming thoughts give basic arrangements or strategies to help those characteristics.
It is generally less expensive, over the long haul, to utilize programming designing strategies and methods for programming frameworks instead of simply compose the projects as though it was an individual programming venture.
Answer:
- import statistics
- def st_dev(file_name):
- with open(file_name) as file:
- data = file.readlines()
- numList = []
- for x in data:
- numList.append(int(x))
-
- return statistics.pstdev(numList)
- print(st_dev("text1.txt"))
Explanation:
The solution code is written using Python.
To ease the calculation task, we can import Python statistics module to use the pstdev method to calculate the population standard deviation of a list of numbers (Line 1).
Next, create a st_dev function that take single argument file_name (Line 3). In the function, it will open the input file and read the data line by line (Line 4-5). Create a for loop to traverse through each line of the data which is an integer and append it to numList (Line 7-8). We can pass the numList to pstdev method (Line 10) and return the resulting standard deviation value as output.
We test the function by passing a file which hold a list of integer values in each line (Line 12).
8
9
12
11
21
15
16
10
7
13
And the output we shall get is 4.019950248448356
