An industry is currently discharging 25,000 kg per year of a toxic chemical to a POTW. Under new local limits, the company will have to reduce this to 5,000 kg per year or pay a new fee of $5.00/kg of the chemical above the limit. They can install a pre-treatment system that will provide the required discharge reduction at a capital cost of $60,000 and an annual operating cost of $15,000. A second alternative is to implement certain pollution prevention (P2) measures that will cost $130,000 to install and $18,000 per year to operate, but will result in a savings to $25,000 per year in process chemicals. Assuming a 10% discount rate and a five year period for the project, should the industry pay the sewer user fee, install the pre-treatment system, or initiate the P2 projects? Ignore the effects of inflation

Write a program in date_generator.py that generates all the dates of next year in mmm dd, yyyy format, as shown below. You need not calculate whether 2021 is a leap year--it is NOT.

If you want to see a hint, scroll WAY down!

Jan 1, 2021
Jan 2, 2021
Jan 3, 2021
.
.
.
Dec 30, 2021
Dec 31, 2021

***my teachers hint:My solution to this program is quite short, but the code is not super simple. I used two lists, a for-loop nested inside another for-loop, range and enumerate.

Please do this in python

Allenton Company is a manufacturing firm that uses job-order costing. At the beginning of the year, the company's inventory balances were as follows: Raw materials $ 24,800 Work in process $ 73,800 Finished goods $ 27,800 The company applies overhead to jobs using a predetermined overhead rate based on machine-hours. At the beginning of the year, the company estimated that it would work 45,800 machine-hours and incur $183,200 in manufacturing overhead cost. The following transactions were recorded for the year: a. Raw materials were purchased, $416,800. b. Raw materials were requisitioned for use in production, $428,000 ($380,800 direct and $47,200 indirect). c. The following employee costs were incurred: direct labor, $414,800; indirect labor, $60,800; and administrative salaries, $212,800. d. Selling costs, $141,800. e. Factory utility costs, $20,800. f. Depreciation for the year was $82,600 of which $73,800 is related to factory operations and $8,800 is related to selling, general, and administrative activities. g. Manufacturing overhead was applied to jobs. The actual level of activity for the year was 48,800 machine-hours. h. The cost of goods manufactured for the year was $1,004,800. i. Sales for the year totaled $1,416,800 and the costs on the job cost sheets of the goods that were sold totaled $989,800. j. The balance in the Manufacturing Overhead account was closed out to Cost of Goods Sold. Required: Prepare the appropriate journal entry for each of the items above (a. through j.). You can assume that all transactions with employees, customers, and suppliers were conducted in cash. (If no entry is required for a transaction/event, select "No Journal Entry Required" in the first account field. Round your answers to the nearest dollar amount.)

Minden Company introduced a new product last year for which it is trying to find an optimal selling price. Marketing studies suggest that the company can increase sales by 5,000 units for each $2 reduction in the selling price. The company’s present selling price is $93 per unit, and variable expenses are $63 per unit. Fixed expenses are $835,200 per year. The present annual sales volume (at the $93 selling price) is 25,600 units.

Required:

1. What is the present yearly net operating income or loss?

2. What is the present break-even point in unit sales and in dollar sales?

3. Assuming that the marketing studies are correct, what is the maximum annual profit that the company can earn? At how many units and at what selling price per unit would the company generate this profit?

4. What would be the break-even point in unit sales and in dollar sales using the selling price you determined in (3) above (e.g., the selling price at the level of maximum profits)?

For the year 2009, the table below gives the percent of people living below the poverty line in the 26 states east of the Mississippi River. Answer the following questions based on this data. State Percent Alabama 7.5 Connecticut 7.9 Delaware 14.9 Florida 13.2 Georgia 12.1 Illinois 10.0 Indiana 9.9 Kentucky 11.9 Maine 13.3 Maryland 10.9 Massachusetts 7.9 Michigan 15.8 Mississippi 9.1 State Percent New Hampshire 14.6 New Jersey 8.3 New York 9.1 North Carolina 12.1 Ohio 13.6 Pennsylvania 10.5 Rhode Island 8.2 South Carolina 12.5 Tennessee 10.0 Vermont 7.3 Virginia 10.4 West Virginia 10.5 Wisconsin 16.1 Find the five-number summary for this data.

For the year 2009, the table below gives the percent of people living below the poverty line in the 26 states east of the Mississippi River. Answer the following questions based on this data. State Percent Alabama 7.5 Connecticut 7.9 Delaware 14.9 Florida 13.2 Georgia 12.1 Illinois 10.0 Indiana 9.9 Kentucky 11.9 Maine 13.3 Maryland 10.9 Massachusetts 7.9 Michigan 15.8 Mississippi 9.1 State Percent New Hampshire 14.6 New Jersey 8.3 New York 9.1 North Carolina 12.1 Ohio 13.6 Pennsylvania 10.5 Rhode Island 8.2 South Carolina 12.5 Tennessee 10.0 Vermont 7.3 Virginia 10.4 West Virginia 10.5 Wisconsin 16.1 Calculate the standard deviation for this sample data. Do NOT round during the course of your calculations. Round only your final answer to two decimal places. (5 pts.)

Last year, 57% of business owners gave a holiday gift to their employees. A survey of business owners conducted this year indicates that 45% plan to provide a holiday gift to their employees. Suppose the survey results are based on a sample of 80 business owners.

(a)

How many business owners in the survey plan to provide a holiday gift to their employees this year?

business owners

(b)

Suppose the business owners in the sample did as they plan. Compute the p-value for a hypothesis test that can be used to determine if the proportion of business owners providing holiday gifts has decreased from last year.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

(c)

Using a 0.05 level of significance, would you conclude that the proportion of business owners providing gifts decreased?

Reject H₀. There is insufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.

Do not reject H₀. There is insufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.    

Do not reject H₀. There is sufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.

Reject H₀. There is sufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.

What is the smallest level of significance for which you could draw such a conclusion? (Round your answer to four decimal places.)

The average number of accidents at controlled intersections per year is 4.1. Is this average more for intersections with cameras installed? The 43 randomly observed intersections with cameras installed had an average of 4.3 accidents per year and the standard deviation was 0.63. What can be concluded at the αα = 0.05 level of significance?

1. For this study, we should use Select an answer z-test for a population proportion t-test for a population mean
2. The null and alternative hypotheses would be:

H0:H0:  ? μ p  ? > = ≠ <       

H1:H1:  ? μ p  ? < = > ≠    

3. The test statistic ? z t  =  (please show your answer to 3 decimal places.)
4. The p-value =  (Please show your answer to 4 decimal places.)
5. The p-value is ? > ≤  αα
6. Based on this, we should Select an answer accept reject fail to reject  the null hypothesis.
7. Thus, the final conclusion is that ...
   • The data suggest that the population mean is not significantly more than 4.1 at αα = 0.05, so there is statistically insignificant evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is more than 4.1 accidents.
   • The data suggest that the sample mean is not significantly more than 4.1 at αα = 0.05, so there is statistically insignificant evidence to conclude that the sample mean number of accidents per year at intersections with cameras installed is more than 4.3 accidents.
   • The data suggest that the populaton mean is significantly more than 4.1 at αα = 0.05, so there is statistically significant evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is more than 4.1 accidents.
8. Interpret the p-value in the context of the study.
   • If the population mean number of accidents per year at intersections with cameras installed is 4.1 and if another 43 intersections with cameras installed are observed then there would be a 2.17496463% chance that the population mean number of accidents per year at intersections with cameras installed would be greater than 4.1.
   • If the population mean number of accidents per year at intersections with cameras installed is 4.1 and if another 43 intersections with cameras installed are observed then there would be a 2.17496463% chance that the sample mean for these 43 intersections with cameras installed would be greater than 4.3.
   • There is a 2.17496463% chance that the population mean number of accidents per year at intersections with cameras installed is greater than 4.1 .
   • There is a 2.17496463% chance of a Type I error.
9. Interpret the level of significance in the context of the study.
   • There is a 5% chance that the population mean number of accidents per year at intersections with cameras installed is more than 4.1.
   • If the population mean number of accidents per year at intersections with cameras installed is 4.1 and if another 43 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is more than 4.1.
   • If the population population mean number of accidents per year at intersections with cameras installed is more than 4.1 and if another 43 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is equal to 4.1.
   • There is a 5% chance that you will get in a car accident, so please wear a seat belt.

Determine the tax liability for tax year 2017 in each of the following instances. In each case, assume the taxpayer can take only the standard deduction.

Use the appropriate Tax Tables and Tax Rate Schedules.

Tax table link: http://lectures.mhhe.com/connect/cruz11e_1259713733/2017_tax_table.pdf

Tax Rate Schedules Link: http://lectures.mhhe.com/connect/cruz11e_1259713733/2017_tax_rate_schedule.pdf

A single taxpayer, not head of household, with AGI of $23,493 and one dependent.

A single taxpayer, not head of household, with AGI of $169,783 and no dependents. (Round your intermediate computations to two decimal places and final answer to the nearest dollar amount.)

A married couple filing jointly with AGI of $39,945 and two dependents.

A married couple filing jointly with AGI of $162,288 and three dependents. (Round your intermediate computations to two decimal places and final answer to the nearest dollar amount.)

A married couple filing jointly with AGI of $301,947 and one dependent. (Round your intermediate computations to two decimal places and final answer to the nearest dollar amount.)

A taxpayer filing married filing separately with AGI of $68,996 and one dependent.

A qualifying widow, age 66, with AGI of $49,240 and one dependent.

A head of household with AGI of $14,392 and two dependents.

A head of household with AGI of $59,226 and one dependent.

(For all requirements, use the Tax Tables for taxpayers with taxable income under $100,000 and the Tax Rate Schedules for those with taxable income above $100,000.)

Tax Liability

a.

b.

c.

d.

e.

f.

g.

h.

i.