The scenario is most likely due to an everyday problem rather than cultural difference among people collaborating online is option D. A team member's bandwidth is limited, and the video feed keeps freezing.
<h3>What is collaborating online?</h3>
Online collaboration is known to be a term that connote the use the internet as well as other forms of online tools to be able to work together on some work or project.
Note that it is one that is done Instead of a person sitting in a physical office space, the online collaboration gives room for employees to be able to work together from different locations and tech by accessing the virtual work environments as well as other shared online workspaces.
Therefore, The scenario is most likely due to an everyday problem rather than cultural difference among people collaborating online is option D. A team member's bandwidth is limited, and the video feed keeps freezing.
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Answer: Multi-user issue
Explanation: A database management system scheme can have multi-user issue when the designing of the system is not made properly. The multi user issue rises when the users concurrently access the data from the database and related error get invoked due to some reason like repeatable reading issue, serialization, etc.
The reading problem is usually can be related to reading of the database in uncommitted manner, uncommitted reading, repeatedly reading etc.Thus, Cora and Owen are accessing the database concurrently which can create multi-user issue.
<span>The three yellow slots probably indicate triple channeling, which means the board uses DDR3 DIMMs. To know for sure, remove a DIMM and look for the position of the notch on the DIMM.</span>
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.
