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.
Answer:
TRUE
Explanation:
A rootkit is a collection of computer software, typically malicious, that is designed to grant an unauthorized user access to a computer or certain programs. Once a rootkit is installed, it is easy to mask its presence, so an attacker can maintain privileged access while remaining undetected.
Rootkit detection is difficult because a rootkit maybe able to subvert the software that is intended to find it.
Rootkits work by using a process called modification (the changing of user account permissions and security).
Rootkits are not malware themselves, but rather a process used to deploy malware on a target.
Therefore, it is TRUE that a rootkit is software and file folders that are hidden from view and permit viruses, spyware, and malware to be installed on a PC without the knowledge or consent of a user.
Answer:
Metropolitan Area Network (MAN)
Explanation:
OPTION A would be the answer
