The type of product a company produces affects the type of accounting system needed to determine product cost. The 2 most common types of costing systems are job-order costing and process costing.
Minimum of 175 words:
Compare and contrast job-order and process costing systems. How can events in a job-order costing system affect financial statements?
How can events in a process costing system affect financial statements? Provide specific examples for each type.
Category: Accounting homework help
John, Lesa, and Tabir form a limited liability company. John contributes 60% of the capital, and Lesa and Tabir each contribute 2%. Nothing is decided about how profits will be divided. John assumes that he will be entitled to 60% of the profits, in accordance with his contribution. Lesa and Tabir, however, assume that the profits will be divided equally. A dispute over the profits arises, and ultimately a court has to decide the issue.
Use the IRAC structure to identify issues and apply law and facts to the case. The IRAC method has four steps:
Identify the issue.
Relevant law – Here you need to explain the law, not just state it. This could be sections/s of the Corporations Act or case law.
Application to the facts – the law is applied to the facts of the problem.
Conclusion
What law will the court apply?
In most states, what will result?
How could this dispute have been avoided in the first place?
Purpose
This assignment illustrates how data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values. You’ll apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models. You’ll practice organizing and delivering a presentation to senior decision-makers. The PowerPoint presentation includes an audio component in addition to speaker notes.
Resource: Microsoft Excel DAT/565 Week 6 Data File
Scenario: A city’s administration isn’t driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time-consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid.
You’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city.
Instructions: Work with the provided Excel database. This database has the following columns:
LotCode: A unique code that identifies the parking lot
LotCapacity: A number with the respective parking lot capacity
LotOccupancy: A number with the current number of cars in the parking lot
TimeStamp: A day/time combination indicating the moment when occupancy was measured
Day: The day of the week corresponding to the TimeStamp
Insert a new column, OccupancyRate, recording occupancy rate as a percentage with one decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%).
Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected?
Using the OccupancyRate and LotCode columns, construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates? Are some parking lots more frequented than others? Is this what you expected?
Select any 2 parking lots. For each one, prepare a scatter plot showing the occupancy rate against TimeStamp for the week 11/20/2016 –11/26/2016. Are occupancy rates time-dependent? If so, which times seem to experience the highest occupancy rates? Is this what you expected?
Presentation:
Search the Internet and University Library for information on “smart cities” to provide guidance and support for your presentation.
Create a 10- to 12-slide presentation with speaker notes and audio. Your audience is the City Council members who are responsible for deciding whether the city invests in resources to set in motion the smart parking space app.
Complete the following in your presentation:
Outline the rationale and goals of the project.
Utilize boxplots showing the occupancy rates for each day of the week. Include your interpretation of the results.
Utilize box plots showing the occupancy rates for each parking lot. Include your interpretation of the results.
Provide scatter plots showing occupancy rate against the time of day of your selected four parking lots. Include your interpretation of the results.
Make a recommendation about continuing with the implementation of this project.
Include citations of resources.
the first step in setting up a new company is choosing among the different types of business ownership. The business structure one chooses influences everything from day-to-day operations, to taxes, to how much of one’s personal assets are at risk. One should choose a business structure that gives one the right balance of legal protections and benefits.
What questions should be asked in determining the appropriate forms of business ownership for a business?
What are the advantages or disadvantages of sole proprietorship and partnership forms in an organization? Would you use a sole proprietorship in your business in the future? Why or why not?
What are the different types of partnerships? Why is the partnership agreement important? Would you use a partnership in your business in the future? Why or why not?
Develop a two- to three-page APA-formatted paper
Hide Folder InformationInstructions
In this course textbook, Lee describes how sales taxes tend to be regressive:
“Knowing whether a tax is progressive, proportional, or regressive involves knowing more than just the tax rate. For example, a flat sales tax on purchases seems to treat all taxpayers equally, but it is often actually regressive in that low-income families may spend a greater portion of their incomes on taxed items that wealthier families do.”
He also notes, that property taxes can also be seen as regressive because “higher income taxpayers tend to have a larger proportion of their wealth in assets that are not subject to property tax.” Also, landlords may also pass on property taxes to tenants via higher rents.
As we discussed in a previous class, for many years a Special Purpose Local Option Sales Tax has been used to fund major infrastructure projects in Chatham County, which has helped local governments avoid major increases in property taxes. Votes in Chatham County have also passed ESPLOST taxes to pay for school buildings and other school system needs, and a TSPOST devoted to transportation projects, though the most recent TSPLOST was voted down at the polls.
If we accept Lee’s assertion that both sales and property taxes are regressive, which is more regressive? Which is the more equitable way to produce revenue? Are there better, fairer options? Please cite sources to support your answers.
Due DateFeb 19, 2023 11:59 PM
The chief executive officer (CEO) of your organization asked you to identify required benefits and non-required benefits. Name your top two required benefits, and explain why they are important. Then, identify your top three non-required benefits, and explain how you feel they would affect hiring and retention.
For this assignment, write explaining your new compensation strategy for the mid-level manager position you still need to fill. Your audience is the chief executive officer (CEO) and other supervisors in your organization. In this, include the items listed below.
After a brief introduction, explain how equal employment opportunity laws impact the organization’s compensation strategy.
Compare and contrast the advantages and disadvantages of pay-for-performance and competency-based pay. What strategy would you recommend for your organization, and why?
Explain how various motivational theories can factor into your development of a multi-generational compensation package for your whole organization that includes indirect benefits. Be sure to give specific examples of how different generations of applicants or employees will be affected.
Explain your proposed compensation package, which should include direct and indirect benefits and how the package will affect hiring and retention. Be sure to specifically identify how much you will pay the mid-level managers, and indicate how it compares to your state and the federal minimum wage. You can search the Internet for sites that list comparable pay data. You should identify a low, medium, and high pay range for the mid-level manager.
Explain how you will assess the effectiveness of the compensation strategy a year from now.
will contain a one-page appendix in which you will create a chart of your compensation strategy. This chart should have three columns, which should address the areas listed below:
legally mandated benefits,
direct benefits (include how much you will pay the mid-level managers), and
indirect benefits.
will be a minimum of three pages in length, not counting the appendix, title page, or references page. You must use at least two sources to support . Adhere to APA Style when constructing this assignment, and make certain to include in-text citations and references for all sources that are used. Please note that no abstract is needed.
Purpose
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models.
Resources: Microsoft Excel® DAT5/65 Week 5 Data File
Instructions:
The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:
FloorArea: square feet of floor space
Offices: number of offices in the building
Entrances: number of customer entrances
Age: age of the building (years)
AssessedValue: tax assessment value (thousands of dollars)
Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.
Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?
Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?
Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?
Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?
Construct a multiple regression model.
Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?
Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?
What is the final model if we only use FloorArea and Offices as predictors?
Suppose our final model is:
AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x Offices
What wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?
Purpose
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models.
Resources: Microsoft Excel® DAT5/65 Week 5 Data File
Instructions:
The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:
FloorArea: square feet of floor space
Offices: number of offices in the building
Entrances: number of customer entrances
Age: age of the building (years)
AssessedValue: tax assessment value (thousands of dollars)
Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.
Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?
Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?
Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?
Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?
Construct a multiple regression model.
Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?
Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?
What is the final model if we only use FloorArea and Offices as predictors?
Suppose our final model is:
AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x Offices
What wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?
The chief executive officer (CEO) of your organization asked you to identify required benefits and non-required benefits. Name your top two required benefits, and explain why they are important. Then, identify your top three non-required benefits, and explain how you feel they would affect hiring and retention.