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
Answer:
The answer is "12.0%".
Explanation:
Economically, price elasticity makes a clear distinction between a consumer's production and a consumer's earnings.
- In this question, income elasticity is given that is "1.2", and incomes increase percentage is given, that is 10%.
- The total income elasticity is in percentage is
.
Answer:
Stop this and watch some prawns
