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Statistic Research, statistics homework help
1. Consider your dissertation research interests. Identify onecategorical/nominal scale IV with more than 2 categories, an ...
Statistic Research, statistics homework help
1. Consider your dissertation research interests. Identify onecategorical/nominal scale IV with more than 2 categories, and three DVs that are measured on continuous scales. Think of DV measures that probably are moderately correlated with each other because they are measuring different components of the same or similar concepts (e.g., three different measures of academic performance). State the null and alternative hypotheses based on this design (with a planned analysis using a one-way MANOVA)2. Considering the variables and design that you described in the first discussion question in this module, what information would a one-way MANOVA provide you? What more would you want to know if you get significant results in the MANOVA? Why would this be significant to your research?*** questions must answered separately******** up to 300 words each questionI have uploaded a document highlighting my topic of interest, also I have highlighted notes made by instructor regarding my research please use the provided information to answer the following question
Columbia Southern University Unit 2 Cookie Creations Case Study
Unit II Case Study
Instructions
Cookie Creations (Chapters 9 and 10)
This assignment will focus on the Cookie Cr ...
Columbia Southern University Unit 2 Cookie Creations Case Study
Unit II Case Study
Instructions
Cookie Creations (Chapters 9 and 10)
This assignment will focus on the Cookie Creations case study from Chapter 9 (page 9-37) and Chapter 10 (page 10-42) of your textbook. There are two parts to this assignment. Review the case situations for each part (i.e., in each chapter), and then complete the instructions.Part I
One of Natalie’s friends, Curtis Lesperance, runs a coffee shop where he sells specialty coffees and prepares and sells muffins and cookies. He is eager to buy one of Natalie’s fine European mixers, which would enable him to make larger batches of muffins and cookies. However, Curtis cannot afford to pay for the mixer for at least 30 days. He asks Natalie if she would be willing to sell him the mixer on credit.Natalie comes to you for advice. She asks you to address the questions below.
Curtis has given me a set of his most recent financial statements. What calculations should I do with the data from these statements, and what questions should I ask him after I have analyzed the statements? How will this information help me decide if I should extend credit to Curtis?
Is there an alternative other than extending credit to Curtis for 30 days?
I am thinking seriously about being able to have my customers use credit cards. What are some of the advantages and disadvantages of letting my customers pay by credit card?
The following transactions occurred in June through August 2020.June 1: After much thought, Natalie sells a mixer to Curtis on credit, terms n/30, for $1,150 (cost of mixer $620).June 30: Curtis calls Natalie. He is unable to pay the amount outstanding for another month, so he signs a 1-month, 8.35% note receivable.July 31: Curtis calls Natalie. He indicates that he is unable to pay today but hopes to have a check for her at the end of the week. Natalie prepares the journal entry to record the dishonor of the note. She assumes she will be paid within a week.Aug. 7: Natalie receives a check from Curtis in payment of his balance owed.Instructions:
Prepare journal entries for the transactions that occurred in June, July, and August in an Excel spreadsheet. Round to the nearest dollar. Note that the company uses a perpetual inventory system. Use the Part I Excel Template to record your transactions.
To reiterate, you will write your responses to Natalie’s questions (1–3) in a Word document, and you will complete the journal transactions in an Excel spreadsheet. Your responses to Part I (Natalie’s questions) should be a minimum of one page in length, and you will add your responses for Part II to this document before submitting.Part II
Natalie is also thinking of buying a van that will be used only for business. The cost of the van is estimated at $36,500. Natalie would spend an additional $2,500 to have the van painted. In addition, she wants the back seat of the van removed so that she will have a lot of room to transport her mixer inventory as well as her baking supplies. The cost of taking out the back seat and installing shelving units is estimated at $1,500. She expects the van to last 5 years, and she expects to drive it for 200,000 miles. The annual cost of vehicle insurance will be $2,400. Natalie estimates that at the end of the 5-year useful life, the van will sell for $7,500. Assume that she will buy the van on August 15, 2020, and it will be ready for use on September 1, 2020.Natalie is concerned about the impact of the van’s cost on her income statement and balance sheet. She has come to you for advice on calculating the van’s depreciation.Instructions:
Determine the cost of the van.
Prepare three depreciation tables for 2020, 2021, and 2022: one for straight-line depreciation (similar to the one in Illustration 10-9), one for double-declining balance depreciation (Illustration 10-13), and one for units-of-activity depreciation (Illustration 10-11). Use the Part II Excel Template to determine depreciation. For units-of-activity, Natalie estimates that she will drive the van as follows: 15,000 miles in 2020; 45,000 miles in 2021; and 50,000 miles in 2022. Recall that Cookie Creations has a December 31 year-end.
What impact will the three methods of depreciation have on Natalie’s balance sheet at December 31, 2020? What impact will the three methods have on Natalie’s income statement in 2020?
What impact will the three methods of depreciation have on Natalie’s income statement over the van’s total 5-year useful life?
What method of depreciation would you recommend Natalie use, and why?
Use the same Word document that you used to record your Part I responses (one page in length), and add your responses for the Part II questions (1–5), which should be one page in length.In summary, you will submit one Word document containing your responses for Parts I and II (two-page minimum) and two Excel spreadsheets containing Natalie’s journal transactions from Part I and the depreciation tables from Part II. You will upload a total of three files to Blackboard (one Word document and two Excel spreadsheets).There are no resources required for this assignment; however, your Word document should be form
5 pages
Topic 14 Final Answer
Problem 1: Classify each wallpaper pattern as p111, p1m1, p1g1, or c1m1. Label enough lines of reflection in the patterns ...
Topic 14 Final Answer
Problem 1: Classify each wallpaper pattern as p111, p1m1, p1g1, or c1m1. Label enough lines of reflection in the patterns to support you answer. Use a ...
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict median housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the median housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate County Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 counties.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.
2 pages
Week 11
My greatest achievement is being given a chance to interact with my colleagues. This was the best learning opportunity as ...
Week 11
My greatest achievement is being given a chance to interact with my colleagues. This was the best learning opportunity as I got an insight into how my ...
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Statistic Research, statistics homework help
1. Consider your dissertation research interests. Identify onecategorical/nominal scale IV with more than 2 categories, an ...
Statistic Research, statistics homework help
1. Consider your dissertation research interests. Identify onecategorical/nominal scale IV with more than 2 categories, and three DVs that are measured on continuous scales. Think of DV measures that probably are moderately correlated with each other because they are measuring different components of the same or similar concepts (e.g., three different measures of academic performance). State the null and alternative hypotheses based on this design (with a planned analysis using a one-way MANOVA)2. Considering the variables and design that you described in the first discussion question in this module, what information would a one-way MANOVA provide you? What more would you want to know if you get significant results in the MANOVA? Why would this be significant to your research?*** questions must answered separately******** up to 300 words each questionI have uploaded a document highlighting my topic of interest, also I have highlighted notes made by instructor regarding my research please use the provided information to answer the following question
Columbia Southern University Unit 2 Cookie Creations Case Study
Unit II Case Study
Instructions
Cookie Creations (Chapters 9 and 10)
This assignment will focus on the Cookie Cr ...
Columbia Southern University Unit 2 Cookie Creations Case Study
Unit II Case Study
Instructions
Cookie Creations (Chapters 9 and 10)
This assignment will focus on the Cookie Creations case study from Chapter 9 (page 9-37) and Chapter 10 (page 10-42) of your textbook. There are two parts to this assignment. Review the case situations for each part (i.e., in each chapter), and then complete the instructions.Part I
One of Natalie’s friends, Curtis Lesperance, runs a coffee shop where he sells specialty coffees and prepares and sells muffins and cookies. He is eager to buy one of Natalie’s fine European mixers, which would enable him to make larger batches of muffins and cookies. However, Curtis cannot afford to pay for the mixer for at least 30 days. He asks Natalie if she would be willing to sell him the mixer on credit.Natalie comes to you for advice. She asks you to address the questions below.
Curtis has given me a set of his most recent financial statements. What calculations should I do with the data from these statements, and what questions should I ask him after I have analyzed the statements? How will this information help me decide if I should extend credit to Curtis?
Is there an alternative other than extending credit to Curtis for 30 days?
I am thinking seriously about being able to have my customers use credit cards. What are some of the advantages and disadvantages of letting my customers pay by credit card?
The following transactions occurred in June through August 2020.June 1: After much thought, Natalie sells a mixer to Curtis on credit, terms n/30, for $1,150 (cost of mixer $620).June 30: Curtis calls Natalie. He is unable to pay the amount outstanding for another month, so he signs a 1-month, 8.35% note receivable.July 31: Curtis calls Natalie. He indicates that he is unable to pay today but hopes to have a check for her at the end of the week. Natalie prepares the journal entry to record the dishonor of the note. She assumes she will be paid within a week.Aug. 7: Natalie receives a check from Curtis in payment of his balance owed.Instructions:
Prepare journal entries for the transactions that occurred in June, July, and August in an Excel spreadsheet. Round to the nearest dollar. Note that the company uses a perpetual inventory system. Use the Part I Excel Template to record your transactions.
To reiterate, you will write your responses to Natalie’s questions (1–3) in a Word document, and you will complete the journal transactions in an Excel spreadsheet. Your responses to Part I (Natalie’s questions) should be a minimum of one page in length, and you will add your responses for Part II to this document before submitting.Part II
Natalie is also thinking of buying a van that will be used only for business. The cost of the van is estimated at $36,500. Natalie would spend an additional $2,500 to have the van painted. In addition, she wants the back seat of the van removed so that she will have a lot of room to transport her mixer inventory as well as her baking supplies. The cost of taking out the back seat and installing shelving units is estimated at $1,500. She expects the van to last 5 years, and she expects to drive it for 200,000 miles. The annual cost of vehicle insurance will be $2,400. Natalie estimates that at the end of the 5-year useful life, the van will sell for $7,500. Assume that she will buy the van on August 15, 2020, and it will be ready for use on September 1, 2020.Natalie is concerned about the impact of the van’s cost on her income statement and balance sheet. She has come to you for advice on calculating the van’s depreciation.Instructions:
Determine the cost of the van.
Prepare three depreciation tables for 2020, 2021, and 2022: one for straight-line depreciation (similar to the one in Illustration 10-9), one for double-declining balance depreciation (Illustration 10-13), and one for units-of-activity depreciation (Illustration 10-11). Use the Part II Excel Template to determine depreciation. For units-of-activity, Natalie estimates that she will drive the van as follows: 15,000 miles in 2020; 45,000 miles in 2021; and 50,000 miles in 2022. Recall that Cookie Creations has a December 31 year-end.
What impact will the three methods of depreciation have on Natalie’s balance sheet at December 31, 2020? What impact will the three methods have on Natalie’s income statement in 2020?
What impact will the three methods of depreciation have on Natalie’s income statement over the van’s total 5-year useful life?
What method of depreciation would you recommend Natalie use, and why?
Use the same Word document that you used to record your Part I responses (one page in length), and add your responses for the Part II questions (1–5), which should be one page in length.In summary, you will submit one Word document containing your responses for Parts I and II (two-page minimum) and two Excel spreadsheets containing Natalie’s journal transactions from Part I and the depreciation tables from Part II. You will upload a total of three files to Blackboard (one Word document and two Excel spreadsheets).There are no resources required for this assignment; however, your Word document should be form
5 pages
Topic 14 Final Answer
Problem 1: Classify each wallpaper pattern as p111, p1m1, p1g1, or c1m1. Label enough lines of reflection in the patterns ...
Topic 14 Final Answer
Problem 1: Classify each wallpaper pattern as p111, p1m1, p1g1, or c1m1. Label enough lines of reflection in the patterns to support you answer. Use a ...
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict median housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the median housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate County Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 counties.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.
2 pages
Week 11
My greatest achievement is being given a chance to interact with my colleagues. This was the best learning opportunity as ...
Week 11
My greatest achievement is being given a chance to interact with my colleagues. This was the best learning opportunity as I got an insight into how my ...
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