1. Please write the following code in python 3. Also, please anser all quetions

Question

1. Please write the following code in python 3. Also, please anser all quetions and share code.

Write a Python function `simulate_revenue(average, std_dev, months)`.
- it produces simulated revenue data according to a normal distribution with shape parameterized by `average` and `std_dev`, for a given number of months.
- It returns a list of length `months`.
- Round each item to the nearest cent. No fractions of a cent allowed.

Use `simulate_revenue` to generate two lists of random numbers which model potential revenue:

1. one list `before` with 24 months of revenue using the current mean and standard deviation,
2. another list `after` with 12 months of revenue using the predicted mean and standard deviation.

Then, concatenate `before` and `after` to produce a third list `all_months` containing the revenue of all 48 months.

---

Write a function `print_monthly_revenue(revenue, name)` that prints an arbitrary list to the screen, with these formatting requirements:
- round each number *when printing* to the nearest $100.
- do not modify the original list.
- prints a two-column output, with `month: revenue` (the month is implicitly given). Pad the month value so it is always of width 2.
- right-align the revenue value

Example:
`print_monthly_revenue(before, "before")` produces
```
Revenue for period 'before'

Mo: revenue
-----------
01: 123100
02: 98288
...
```

Call `print_monthly_revenue` on each of your concatenated list, and be sure to commit the output.

Explanation / Answer

1)

# importing Statistics module

import statistics

# creating a simple data - set

sample = [1, 2, 3, 4, 5]

# Prints standard deviation

# xbar is set to default value of 1

print("Standard Deviation of sample is % s "

                % (statistics.stdev(sample)))

# Python code to demonstrate stdev()  

# function on varioius range of datasets

# importing the statistics module

from statistics import stdev

# importing frations as parameter values

from fractions import Fraction as fr

# creating a varying range of sample sets

# numbers are spread apart but not very much

sample1 = (1, 2, 5, 4, 8, 9, 12)

# tuple of a set of negative integers

sample2 = (-2, -4, -3, -1, -5, -6)

# tuple of a set of positive and negative numbers

# data-points are spread apart considerably

sample3 = (-9, -1, -0, 2, 1, 3, 4, 19)

# tuple of a set of floating point values

sample4 = (1.23, 1.45, 2.1, 2.2, 1.9)

# Print the standard deviation of  

# following sample sets of observations

print("The Standard Deviation of Sample1 is % s"

                              %(stdev(sample1)))

print("The Standard Deviation of Sample2 is % s"

                              %(stdev(sample2)))

print("The Standard Deviation of Sample3 is % s"

                              %(stdev(sample3)))

print("The Standard Deviation of Sample4 is % s"

                              %(stdev(sample4)))

# Python code to demonstrate differnce

# in results of stdev() and variance()

# importing Statistics module

import statistics

# creating a simple data-set

sample = [1, 2, 3, 4, 5]

# Printing standard deviation

# xbar is set to default value of 1

print("Standard Deviation of the sample is % s "

                    %(statistics.stdev(sample)))

# variance is approximately the

# squared result of what stdev is

print("Variance of the sample is % s"

     %(statistics.variance(sample)))

2)

                              %(stdev(sample4)))

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