Answer:
b. server
Explanation:
A server serves responses to requests from client objects.
Answer:
Option (C) is the correct option to the following question.
Explanation:
The following option is correct because the unit testing is the process of testing a single unit of software at a time, which means the testing of each and every program separately.
In simple words, Unit testing a process of testing in which the developer executes the single method or a function, statements or loop in the program of the software to checking is it working fine or not.
Answer:
With modeling and simulation, we model the system and then test the system to gather test predictions.
Explanation:
You would have to test the system in order to see if it's working right and everything is all good with the system.
I hope this helped. I am sorry if you get this wrong.
Answer:
- import math
-
- def standard_deviation(aList):
- sum = 0
- for x in aList:
- sum += x
-
- mean = sum / float(len(aList))
-
- sumDe = 0
-
- for x in aList:
- sumDe += (x - mean) * (x - mean)
-
- variance = sumDe / float(len(aList))
- SD = math.sqrt(variance)
-
- return SD
-
- print(standard_deviation([3,6, 7, 9, 12, 17]))
Explanation:
The solution code is written in Python 3.
Firstly, we need to import math module (Line 1).
Next, create a function standard_deviation that takes one input parameter, which is a list (Line 3). In the function, calculate the mean for the value in the input list (Line 4-8). Next, use the mean to calculate the variance (Line 10-15). Next, use sqrt method from math module to get the square root of variance and this will result in standard deviation (Line 16). At last, return the standard deviation (Line 18).
We can test the function using a sample list (Line 20) and we shall get 4.509249752822894
If we pass an empty list, a ZeroDivisionError exception will be raised.
