Category: Math

Follow instructions please no plagiarise! Statistics. Directions: You will do Project #1 on a quantitative variable. Record data on two different samples of 10, drawn from two different populations. For example, ask 10 men and 10 women how many cups of coffee are consumed daily. Provide a description of of the data selected, and the two different populations you chose. DO NOT use the same example in your project. That is, do not ask two groups of 10 people how many cups of coffee are consumed daily. Ask a question that interests you or that has something to do with your everyday life. Record the data for each group, and for EACH sample, compute the mean, the variance, the sample standard deviation and the five-number summary. Compare your two samples by creating either two boxplots or histograms. Use Sample Project #1 to format Project #1. You may use Excel to compute the statistics, but it is not a requirement. Summarize your results in a paragraph, including a description of how you collected your data and your interpretation of the results. Does it appear that the two populations are similar, or different?

Specifically, you must address the following rubric criteria: Contribution Margin. Determine your contribution margin per unit in the “Contribution Margin Analysis” tab. Choose a sales price for each product. Calculate the contribution margin for each product based on your sales price and the variable cost for that product. Show your work using calculations to the side of the table or using appropriate formulas in the table. Break-Even Analysis. Use cost-volume-profit (CVP) analysis to determine your break-even points for achieving your target profits in the “Break-Even Analysis” tab. Determine the break-even points for each product. Show your work using calculations to the side of the table or using appropriate formulas in the table. Determine break-even units for the suggested target profits for each product. Show your work using calculations to the side of the table or using appropriate formulas in the table. What to Submit Submit the Project Workbook with the “Contribution Margin Analysis” and “Break-Even Analysis” tabs completed. This file should be completed and submitted using Microsoft Excel.

Directions Using 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 Data Spreadsheet 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: Introduction Describe 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 predictor (x) and response (y) variables in a linear regression to justify the selection of variables. Data Collection Sampling the data: Select a random sample of 50 houses. Describe how you obtained your sample data (provide Excel formulas as appropriate). Identify your predictor and response variables. Scatterplot: Create a scatterplot of your predictor and response variables to ensure they are appropriate for developing a linear model. Data Analysis Histogram: Create a histogram for each of the two variables. 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 house sales and square footage. Compare and contrast the center, shape, spread, and any unusual characteristic for your sample of house sales with the national population (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Determine whether your sample is representative of national housing market sales. Develop Your Regression Model Scatterplot: Provide a scatterplot of the variables with a line of best fit and regression equation. Based on your scatterplot, explain if a regression model is appropriate. 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. Calculate r: Calculate 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. For example, answer the questions: what does the slope represent in this situation? What does the intercept represent? Revisit the Scenario above. 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 assumed square footage of your home at 1500 square feet. Conclusions Summarize 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. You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics. The videos may use different national statistics. You should use the national statistics posted with this assignment.

Directions Using 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 Data Spreadsheet 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: Introduction Describe 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 predictor (x) and response (y) variables in a linear regression to justify the selection of variables. Data Collection Sampling the data: Select a random sample of 50 houses. Describe how you obtained your sample data (provide Excel formulas as appropriate). Identify your predictor and response variables. Scatterplot: Create a scatterplot of your predictor and response variables to ensure they are appropriate for developing a linear model. Data Analysis Histogram: Create a histogram for each of the two variables. 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 house sales and square footage. Compare and contrast the center, shape, spread, and any unusual characteristic for your sample of house sales with the national population (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Determine whether your sample is representative of national housing market sales. Develop Your Regression Model Scatterplot: Provide a scatterplot of the variables with a line of best fit and regression equation. Based on your scatterplot, explain if a regression model is appropriate. 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. Calculate r: Calculate 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. For example, answer the questions: what does the slope represent in this situation? What does the intercept represent? Revisit the Scenario above. 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 assumed square footage of your home at 1500 square feet. Conclusions Summarize 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. You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics. The videos may use different national statistics. You should use the national statistics posted with this assignment.

This assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation. You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate Data Spreadsheet spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Summary Statistics and Graphs Real Estate Data PDF spreadsheet will support your work on the assignment. Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the listing price and the independent, or predictor, variable (x) should be the square feet. https://www.youtube.com/watch?v=IHS_PEgSxk4

Prompt Think about a company you know. This could be a current or past employer or a company you admire. Consider its business activities and the type of products and services offered. Based on what you have learned so far, write a short paper that reflects on the different costing methods and speculates on how they might apply to your selected company. Specifically, you must address the following rubric criteria: Company Overview: Identify the company you selected and provide a brief overview of its business. Is it a manufacturing, merchandising, or service organization? Costing Methods: Compare the job order and process costing methods, and explain how each of these can be applied to the company. How could the costs differ if one method is chosen over the other? Factory Overhead: Outline possible indirect or overhead costs the company may need to account for, and identify the type of costing the company might use for these costs. If the company decides to use activity-based costing (ABC), what are some activity bases (cost drivers) it might use to allocate these costs? Recommendation: Based on your analysis, recommend a costing method for the company, and explain why you think this method will work best for the business. What to Submit Submit your assignment as a 2- to 4-page Word document. Sources should be cited according to APA style.

Instructions: Subject to penalty if not followed 1. For any problem not done simple write problem incomplete-all work must be accounted for 2. All work must be in order, problem 1 then problem 2 etc, 3. All work MUST be readable or it will not be graded 4. Do the problems on separate sheets and then photo then and turn them into a single PDF to upload 5. Don’t forget to factor in the time to make the PDF. Late submission will be penalized. 6. Each question worth 5 points 7. Partial credit is at the sole discretion of the instructor. 8. If you cannot do a problem simple write problem incomplete. Answers that are mere guesses or clearly unreasonable m

This assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation. You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate Data Spreadsheet spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Summary Statistics and Graphs Real Estate Data PDF spreadsheet will support your work on the assignment. Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the listing price and the independent, or predictor, variable (x) should be the square feet. https://www.youtube.com/watch?v=IHS_PEgSxk4

You plan to open a business manufacturing collars, leashes, and harnesses for pets. To begin, you will manufacture these in a standard style and size with plans to expand your range over the year. In a few weeks, you will present your company’s financial strategy to some key investors. To begin creating your strategy, you need to consider and record all the costs associated with operating your business. You have decided to use the job order costing system. Prompt Use the given operational costs in the Milestone One Operational Costs Data Appendix Word Document (LOCATED BELOW) to complete the first two tabs, “Cost Classification” and “Variable and Fixed Costs,” in the Project Workbook Spreadsheet. Specifically, you must address the following rubric criteria: Cost Classification. Accurately classify all your costs in the “Cost Classification” tab of your workbook. Identify direct material, direct labor, overhead, and period costs. (Note: Fixed and variable costs have been classified for you.) Variable and Fixed Costs. Complete the “Variable and Fixed Costs” tab of your workbook. (Note: Some costs are provided for you. Fill in only the missing costs.) Determine your total variable cost per unit and the total fixed costs for each product. Show your work using calculations to the side of the table or using appropriate formulas in the table. What to Submit Submit the Project Workbook with the “Cost Classification” and “Fixed and Variable Costs” tabs completed. This file should be completed and submitted using Microsoft Excel. ACC 202 Milestone One: Operational Costs Data Appendix You plan to open a small business for manufacturing pet collars, leashes, and harnesses. You have found a workshop space you can use for sewing your products. After some research and planning, you have estimates for the various operating costs for your business. The total square footage for the sewing rooms is 1,500 square feet broken into three areas (500 square feet each). You have taken out a loan for start-up costs, and the monthly payment is $550; it goes into effect immediately and should be accounted for in your costs. You will also collect a modest salary for the first year of $500 per month; remember to divide evenly among the services. Salary and Hiring Data • One collar maker, who will be paid $16.00 per hour and work 40 hours per week • One leash maker, who will be paid $16.00 per hour and work 40 hours per week • One harness maker, who will be paid $17.00 per hour and work 40 hours per week • One receptionist, who will be paid $15.00 per hour and work 30 hours per week Other Costs • Rent: $750 per month; allocate based on square footage • High-tensile strength nylon webbing—$12 per yard of webbing o 3 collars per yard of webbing o 2 leashes per yard of webbing o 2 harnesses per yard of webbing • Polyester/nylon ribbons—$9 per yard of ribbon o 3 collars per yard of ribbon o 2 leashes per yard of ribbon o 2 harnesses per yard of ribbon • Buckles made of cast hardware—$0.50 per buckle o 4 buckles used per collar o 3 buckles used per leash o 8 buckles used per harness • 3 industrial sewing machines at $3,300 each for a total of $9,900; depreciation is $165 per month (5-year life, zero salvage value) • Utilities and insurance: $600 per month; allocate based on square footage • Scissors, thread, cording: $1,200 • Price tags: $250 for 2,500 ($0.10 each) • Office supplies: $2,400 or $200 per month • Other business equipment: $2,000 • Loan payment of $550 per month • Salary drawn of $500 per month

Need a Statistics question (A report written) All instructions, SPSS output and graphs/ tables included.