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:
Explanation:
It has to do with collecting and utilizing data
Answer:
B. Conditional formatting.
Explanation:
Microsoft Excel is a spreadsheet application with tools to analyse and clean data. Filtering and sorting data in a cell or column can be done in varieties of ways including conditional formatting.
Conditional formatting is an analysis tool found on the data tab in the ribbon. It formats a group of data that meets a condition with a specified format ( color, icon, coloured Icon etc).
The answer is A it’s the one that sounds right