Answer:
The correct answer to the following question will be "Physical Layer".
Explanation:
- The lowest layer of the OSI reference model is the physical layer. It's in charge of having to send bits from one desktop to the next.
- This layer isn't acquainted with the interpretation of the parts and is concerned with setting up a physical wireless connection and sending and receiving signals.
- This layer relies on aspects of the hardware, such as wires, transmitters, and network interface tokens.
Therefore, it will be the right answer.
The instructions that he microprocessor can execute each
second if the assembly line is present will be depending on the workload and
the architecture’s core because it is all depending on the speed of the CPU and
the multiplier that it acquires.
Answer:
The answer is Bootsrap
Explanation:
A bootstrap program which is also referred to as a bootstrap loader is a program that resides in the computer’s Read Only Memory. It starts the whole chain reaction and ends up with the entire OS being loaded. This program reads the computer’s hard drive boot sector and continues with the process of loading the Operating System. It first performs a POST test and then proceeds to load the OS intothe main memory.
Answer:
True
Explanation:
They want to focus on their customers and their interests, so they market their products to a specific audience. hope this helps :)
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.
