Answer:
=((SUM(PUT RANGE OF MOTHLY EXPENSES HERE)*12)+SUM(PUT RANGE OF YEARLY EXPENSES HERE))/12
Explanation:
Adds all of the Monthly Expenses : SUM(PUT RANGE OF MOTHLY EXPENSES HERE)
Multiplies the result by 12: *12
Then adds all of the Yearly Expenses to the product of Steps 1 and 2 : SUM(PUT RANGE OF YEARLY EXPENSES HERE)
Divides this new sum by 12: /12
=((SUM(PUT RANGE OF MOTHLY EXPENSES HERE)*12)+SUM(PUT RANGE OF YEARLY EXPENSES HERE)/12)
Answer:
RDS.
Explanation:
A corporation has implemented a software that conducts the number of information overwriting and deleting, which allows the newest details to be accessible whenever the information is examined. As a Software Engineer, they suggest RDS database technologies.
It is an AWS supported controlled SQL DB service that also reinforces the array type DB for the purpose to contain and maintain the information.
Answer:
- import statistics
- def st_dev(file_name):
- with open(file_name) as file:
- data = file.readlines()
- numList = []
- for x in data:
- numList.append(int(x))
-
- return statistics.pstdev(numList)
- print(st_dev("text1.txt"))
Explanation:
The solution code is written using Python.
To ease the calculation task, we can import Python statistics module to use the pstdev method to calculate the population standard deviation of a list of numbers (Line 1).
Next, create a st_dev function that take single argument file_name (Line 3). In the function, it will open the input file and read the data line by line (Line 4-5). Create a for loop to traverse through each line of the data which is an integer and append it to numList (Line 7-8). We can pass the numList to pstdev method (Line 10) and return the resulting standard deviation value as output.
We test the function by passing a file which hold a list of integer values in each line (Line 12).
8
9
12
11
21
15
16
10
7
13
And the output we shall get is 4.019950248448356
